Triple
T29692504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skull 5 |
E751247
|
entity |
| Predicate | hasFacialMorphology |
P161608
|
FINISHED |
| Object | large prognathic face |
—
|
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: large prognathic face | Statement: [Skull 5, hasFacialMorphology, large prognathic face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacialMorphology Context triple: [Skull 5, hasFacialMorphology, large prognathic face]
-
A.
morphologicalTraits
chosen
Indicates a relationship where specific physical form or structural characteristics are attributed to or associated with an entity.
-
B.
facialMarkings
Indicates that one entity has distinctive marks, patterns, or features on its face in relation to another entity or context.
-
C.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
D.
hasPhysicalFeature
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
E.
limbMorphology
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 28, 2026, 7:18 p.m.