Triple
T6848683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodiak bear |
E157958
|
entity |
| Predicate | shoulderHeightRange |
P72587
|
FINISHED |
| Object | 1.3–1.5 m |
—
|
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: 1.3–1.5 m | Statement: [Kodiak bear, shoulderHeightRange, 1.3–1.5 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoulderHeightRange Context triple: [Kodiak bear, shoulderHeightRange, 1.3–1.5 m]
-
A.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
B.
weightRangeDescription
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
C.
hasShoulderButtons
Indicates that an object, typically a device or controller, includes buttons positioned on its shoulders or top side edges.
-
D.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
E.
heightEstimate
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:20 p.m.