Triple
T9838021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPOT Earth observation satellites |
E239151
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object |
Société pour l’Observation de la Terre (SPOT Image)
Société pour l’Observation de la Terre (SPOT Image) is a French company that commercializes and distributes high-resolution satellite imagery and geospatial information derived from the SPOT Earth observation satellite system.
|
E239151
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Société pour l’Observation de la Terre (SPOT Image) | Statement: [SPOT Earth observation satellites, developedBy, Société pour l’Observation de la Terre (SPOT Image)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Société pour l’Observation de la Terre (SPOT Image) Context triple: [SPOT Earth observation satellites, developedBy, Société pour l’Observation de la Terre (SPOT Image)]
-
A.
SPOT Earth observation satellites
SPOT Earth observation satellites are a series of French-led remote sensing spacecraft that provide high-resolution optical imagery of Earth for applications such as mapping, environmental monitoring, and land-use analysis.
-
B.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
C.
Landsat satellites
Landsat satellites are a series of Earth-observing spacecraft that provide long-term, continuous multispectral imagery used worldwide for environmental monitoring, land-use mapping, and resource management.
-
D.
European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
-
E.
ALOS Earth observation satellites
ALOS Earth observation satellites are Japanese remote-sensing spacecraft designed to collect high-resolution imagery and data for mapping, disaster monitoring, and environmental observation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Société pour l’Observation de la Terre (SPOT Image) Triple: [SPOT Earth observation satellites, developedBy, Société pour l’Observation de la Terre (SPOT Image)]
Generated description
Société pour l’Observation de la Terre (SPOT Image) is a French company that commercializes and distributes high-resolution satellite imagery and geospatial information derived from the SPOT Earth observation satellite system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Société pour l’Observation de la Terre (SPOT Image) Target entity description: Société pour l’Observation de la Terre (SPOT Image) is a French company that commercializes and distributes high-resolution satellite imagery and geospatial information derived from the SPOT Earth observation satellite system.
-
A.
SPOT Earth observation satellites
chosen
SPOT Earth observation satellites are a series of French-led remote sensing spacecraft that provide high-resolution optical imagery of Earth for applications such as mapping, environmental monitoring, and land-use analysis.
-
B.
Terra satellite
Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
-
C.
Landsat satellites
Landsat satellites are a series of Earth-observing spacecraft that provide long-term, continuous multispectral imagery used worldwide for environmental monitoring, land-use mapping, and resource management.
-
D.
European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
-
E.
ALOS Earth observation satellites
ALOS Earth observation satellites are Japanese remote-sensing spacecraft designed to collect high-resolution imagery and data for mapping, disaster monitoring, and environmental observation.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb347ff4c81908c312548a25bae71 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d145ac8190ad10a4328216ef54 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6bb23cc81909efbeccf147018e8 |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d726e58c819090135d1ff275d2d8 |
completed | April 5, 2026, 3:29 a.m. |
Created at: March 30, 2026, 8:33 p.m.