Triple
T6174957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canis Minor |
E137794
|
entity |
| Predicate | hasMessierObjects |
P58487
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Canis Minor, hasMessierObjects, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMessierObjects Context triple: [Canis Minor, hasMessierObjects, false]
-
A.
hasMessierNumber
Indicates that an astronomical object is identified by a specific catalog entry in the Messier catalog.
-
B.
hasNoMessierObjects
chosen
Indicates that the referenced region or set contains no objects from the Messier catalog.
-
C.
hasDeepSkyObject
Indicates that an entity is associated with or contains a specific deep-sky astronomical object (such as a galaxy, nebula, or star cluster).
-
D.
hostGalaxyMessierNumber
Indicates the Messier catalog number assigned to the galaxy that serves as the host for the referenced astronomical object.
-
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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc55b5c819084482b735771c9a8 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.