Triple
T2233500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capricornus |
E49224
|
entity |
| Predicate | messierObjectCount |
P36411
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Capricornus, messierObjectCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messierObjectCount Context triple: [Capricornus, messierObjectCount, 1]
-
A.
hasMessierNumber
Indicates that an astronomical object is identified by a specific catalog entry in the Messier catalog.
-
B.
numberOfGlobularClusters
Indicates the quantitative relationship specifying how many globular clusters are associated with a given astronomical object or system.
-
C.
telescopeArrayMemberCount
Indicates the number of individual telescopes that are part of a given telescope array.
-
D.
approximateNumberOfGalaxies
Indicates an estimated or roughly calculated count of galaxies associated with a given subject.
-
E.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.