Triple
T16975442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sable antelope |
E411797
|
entity |
| Predicate | femaleShoulderHeightRange |
P60924
|
FINISHED |
| Object | 110–120 cm |
—
|
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: 110–120 cm | Statement: [Sable antelope, femaleShoulderHeightRange, 110–120 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleShoulderHeightRange Context triple: [Sable antelope, femaleShoulderHeightRange, 110–120 cm]
-
A.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
-
B.
mastHeight
Indicates the height of a mast relative to a referenced object or measurement standard.
-
C.
femaleHeightRangeCm
chosen
Indicates the range of heights, measured in centimeters, that is associated with female individuals.
-
D.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
E.
hasShoulderDiameter
Indicates the diameter measurement of an entity’s shoulder region or shoulder-related feature.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.