Triple
T15663328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornithomimus |
E376621
|
entity |
| Predicate | likelyBehavior |
P119659
|
FINISHED |
| Object | fast runner |
—
|
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: fast runner | Statement: [Ornithomimus, likelyBehavior, fast runner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyBehavior Context triple: [Ornithomimus, likelyBehavior, fast runner]
-
A.
likelySocialBehavior
Indicates that an entity is expected or predicted to engage in a particular social behavior or interaction.
-
B.
likelySource
Indicates that one entity is considered the probable origin or cause of another entity or event.
-
C.
likelyComposition
Indicates that one entity is probably a component or constituent part of another entity, though this compositional relationship is uncertain or inferred rather than definite.
-
D.
likelyRegion
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
E.
possibleRelative
Indicates a relationship where one entity may be related to another by family or kinship, but the exact nature of the relationship is uncertain or not fully established.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0e2668819092e52712cddd0721 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.