Triple
T1997788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervus elaphus |
E43396
|
entity |
| Predicate | bodyMassFemale |
P31786
|
FINISHED |
| Object | typically 80–120 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: typically 80–120 kg | Statement: [Cervus elaphus, bodyMassFemale, typically 80–120 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyMassFemale Context triple: [Cervus elaphus, bodyMassFemale, typically 80–120 kg]
-
A.
averageWeightFemale
chosen
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
B.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
C.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
D.
typicalBodyType
Indicates that one entity is the usual or characteristic body type associated with another entity.
-
E.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.