Triple
T4232696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bison bison |
E94616
|
entity |
| Predicate | hasShoulderHeight |
P26651
|
FINISHED |
| Object | approximately 1.5 to 2 meters |
—
|
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: approximately 1.5 to 2 meters | Statement: [Bison bison, hasShoulderHeight, approximately 1.5 to 2 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoulderHeight Context triple: [Bison bison, hasShoulderHeight, approximately 1.5 to 2 meters]
-
A.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
averageMaleShoulderHeight
chosen
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
C.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
D.
heightInCentimetres
Indicates the numerical value of an entity’s height measured in centimetres.
-
E.
sideArchHeight
Indicates the vertical height measurement of a side arch relative to a reference point or baseline.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e65720c819087c4022c774ff7c3 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.