Triple
T5407061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 45 |
E120917
|
entity |
| Predicate | messierCatalogNumber |
P20402
|
FINISHED |
| Object | 45 |
—
|
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: 45 | Statement: [Messier 45, messierCatalogNumber, 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messierCatalogNumber Context triple: [Messier 45, messierCatalogNumber, 45]
-
A.
hasMessierNumber
chosen
Indicates that an astronomical object is identified by a specific catalog entry in the Messier catalog.
-
B.
hostGalaxyMessierNumber
Indicates the Messier catalog number assigned to the galaxy that serves as the host for the referenced astronomical object.
-
C.
hasNGCNumber
Indicates that an astronomical object is identified by a specific catalog entry in the New General Catalogue (NGC).
-
D.
addedToMessierCatalogueBy
Indicates that one entity (typically an astronomical object) was included in the Messier Catalogue through the action or authorship of another entity (typically a person or organization).
-
E.
messierObjectCount
Indicates the number of Messier catalog objects associated with or contained within a given entity.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.