Triple
T36514849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSLV-C2 |
E900007
|
entity |
| Predicate | DLR-TubsatCountryOfOrigin |
P185801
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
How this triple was built (2 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: Germany | Statement: [PSLV-C2, DLR-TubsatCountryOfOrigin, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DLR-TubsatCountryOfOrigin Context triple: [PSLV-C2, DLR-TubsatCountryOfOrigin, Germany]
-
A.
spaceAgencyCountry
Indicates the country with which a space agency is officially associated or under whose jurisdiction it operates.
-
B.
telescopeCountry
Indicates the country in which a given telescope is located or with which it is primarily associated.
-
C.
deployedSatellite
Indicates that one entity has placed another entity into orbit or operational status as a satellite.
-
D.
satelliteType
Indicates that one entity is classified as a specific type or category of satellite relative to another entity.
-
E.
isUrbanSatelliteOf
Indicates that a smaller urban area or city functions as a dependent or closely linked satellite to a larger primary city or metropolitan center.
- F. None of above. chosen
Provenance (4 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.