Triple
T16417732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaia Data Release 2 |
E398732
|
entity |
| Predicate | numberOfStarsWithFiveParameterAstrometry |
P7300
|
FINISHED |
| Object | about 1.3 billion |
—
|
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: about 1.3 billion | Statement: [Gaia Data Release 2, numberOfStarsWithFiveParameterAstrometry, about 1.3 billion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStarsWithFiveParameterAstrometry Context triple: [Gaia Data Release 2, numberOfStarsWithFiveParameterAstrometry, about 1.3 billion]
-
A.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
B.
numberOfStarsWithPlanets
Indicates the count of stars that have one or more planets associated with them.
-
C.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
D.
containsStarPositionsFrom
Indicates that one entity includes or is derived from the star position data originating from another entity.
-
E.
approximateStellarCount
chosen
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
- F. None of above.
Provenance (3 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328798a488190a5fad01c3c95584c |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.