Triple
T4232746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syncerus caffer |
E94617
|
entity |
| Predicate | averageBodyMass |
P1335
|
FINISHED |
| Object | 500–900 kg |
—
|
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: 500–900 kg | Statement: [Syncerus caffer, averageBodyMass, 500–900 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageBodyMass Context triple: [Syncerus caffer, averageBodyMass, 500–900 kg]
-
A.
averageWeight
chosen
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
maleBodyMass
Indicates that the relationship specifies the body mass or weight associated with a male individual.
-
C.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
D.
averageWeightFemale
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
E.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
- 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.