Triple
T22475234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australopithecus afarensis |
E555611
|
entity |
| Predicate | cranialFeature |
P117695
|
FINISHED |
| Object | 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: prognathic face | Statement: [Australopithecus afarensis, cranialFeature, prognathic face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cranialFeature Context triple: [Australopithecus afarensis, cranialFeature, prognathic face]
-
A.
skullMorphology
chosen
Indicates a relationship where entities are characterized or compared based on the form, structure, or anatomical features of their skulls.
-
B.
majorCranialComponent
Indicates that one anatomical structure constitutes a principal or primary component of another structure within the cranium.
-
C.
headShape
Indicates the characteristic form or contour of an entity’s head.
-
D.
headRegion
Indicates that one entity is the head or primary governing region of another entity.
-
E.
cranialCapacity
Indicates the volume or size of the interior space of the skull that can house the brain.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be3930c8190ba967196df7e083f |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.