Triple
T5363421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunki |
E103073
|
entity |
| Predicate | isMainSequenceStar |
P63029
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nunki, isMainSequenceStar, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainSequenceStar Context triple: [Nunki, isMainSequenceStar, true]
-
A.
isPrimaryStarOf
Indicates that a star serves as the main or central stellar object in relation to a specified system, object, or context.
-
B.
hasSecondBrightestStar
Indicates that one entity possesses or is associated with another entity that is the second most luminous star within a specified group or system.
-
C.
cataloguedAsStar
Indicates that an object has been classified and recorded specifically as a star in a catalog or database.
-
D.
isAsterismOf
Indicates that one or more stars collectively form or belong to a specific asterism.
-
E.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85731dcc8190b4c1fe155967ab81 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 20, 2026, 2:02 p.m.