Triple
T21042402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bos javanicus |
E518357
|
entity |
| Predicate | averageShoulderHeightFemale_cm |
P35367
|
FINISHED |
| Object | 135 |
—
|
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: 135 | Statement: [Bos javanicus, averageShoulderHeightFemale_cm, 135]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageShoulderHeightFemale_cm Context triple: [Bos javanicus, averageShoulderHeightFemale_cm, 135]
-
A.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
B.
averageFemaleHeight
chosen
Indicates the typical or mean height value observed among female individuals in a given group or population.
-
C.
femaleHeight
Indicates the height measurement associated specifically with a female individual.
-
D.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
E.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf0b27881909d1c5b58be387a74 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:15 p.m.