Triple
T8378750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA-20 |
E197637
|
entity |
| Predicate | COSPARId |
P18899
|
FINISHED |
| Object |
2017-073A
2017-073A is the COSPAR designation for NOAA-20, a U.S. polar-orbiting weather satellite used for advanced meteorological and environmental observations.
|
E729841
|
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: 2017-073A | Statement: [NOAA-20, COSPARId, 2017-073A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2017-073A Context triple: [NOAA-20, COSPARId, 2017-073A]
-
A.
A73
A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
A702
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
-
D.
A217
The A217 is a major road in southern England that connects parts of London with Surrey, serving as an important route for local and regional traffic.
-
E.
A377
A377 is a primary road in Devon, England, linking the town of Barnstaple with Exeter and serving as an important regional route.
- 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: 2017-073A Triple: [NOAA-20, COSPARId, 2017-073A]
Generated description
2017-073A is the COSPAR designation for NOAA-20, a U.S. polar-orbiting weather satellite used for advanced meteorological and environmental observations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2017-073A Target entity description: 2017-073A is the COSPAR designation for NOAA-20, a U.S. polar-orbiting weather satellite used for advanced meteorological and environmental observations.
-
A.
A73
A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
A702
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
-
D.
A217
The A217 is a major road in southern England that connects parts of London with Surrey, serving as an important route for local and regional traffic.
-
E.
A377
A377 is a primary road in Devon, England, linking the town of Barnstaple with Exeter and serving as an important regional route.
- F. None of above. chosen
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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c3dc1881908081c6a2829deb5a |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7fa87908190a504f8aaae125a7a |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebf944008190b7e758ac59257e22 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdeccedf4081909cab853ee1ff1b82 |
completed | April 2, 2026, 4:13 a.m. |
Created at: March 30, 2026, 6:02 p.m.