Triple
T4648498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier catalogue |
E102231
|
entity |
| Predicate | includesTypeOfObject |
P58911
|
FINISHED |
| Object | open star cluster |
—
|
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: open star cluster | Statement: [Messier catalogue, includesTypeOfObject, open star cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTypeOfObject Context triple: [Messier catalogue, includesTypeOfObject, open star cluster]
-
A.
includesTypeOfBody
Indicates that one entity encompasses or contains another entity classified as a specific type of body (e.g., physical, celestial, or organizational body).
-
B.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
fulfillsTypeOf
Indicates that one entity satisfies or conforms to a specified type, category, or classification defined by another entity.
-
D.
instanceOf
relation of type constraints
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd663092cc81909308f89ee1a417e4 |
completed | March 20, 2026, 3:22 p.m. |
Created at: March 20, 2026, 1:14 p.m.