Triple
T20902808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion Nebula Cluster |
E514712
|
entity |
| Predicate | hasInitialMassFunction |
P141636
|
FINISHED |
| Object | well-studied initial mass function |
—
|
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: well-studied initial mass function | Statement: [Orion Nebula Cluster, hasInitialMassFunction, well-studied initial mass function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialMassFunction Context triple: [Orion Nebula Cluster, hasInitialMassFunction, well-studied initial mass function]
-
A.
hasVirialMass
Indicates that an entity possesses a mass value determined via the virial theorem, typically inferred from its internal motions or dynamics.
-
B.
hasGasMass
Indicates that an entity possesses a specified amount of gas mass as one of its physical properties.
-
C.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system or region.
-
D.
hasMassFraction
Indicates that a specified portion of a substance’s total mass is attributable to a particular component or constituent.
-
E.
hasMassTerm
Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fd7e4481909088b7f74ba24549 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:47 p.m.