Triple
T3892877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeMS |
E88100
|
entity |
| Predicate | numberOfLaserGuideStars |
P52700
|
FINISHED |
| Object | 5 |
—
|
LITERAL FINISHED |
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: 5 | Statement: [GeMS, numberOfLaserGuideStars, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLaserGuideStars Context triple: [GeMS, numberOfLaserGuideStars, 5]
-
A.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
B.
numberOfBrightNakedEyeStars
Indicates the count of stars that are bright enough to be seen with the naked eye.
-
C.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
-
D.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
E.
observatoryCount
Indicates the number of observatories associated with or present in relation to a given entity.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.