Triple
T1997789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervus elaphus |
E43396
|
entity |
| Predicate | shoulderHeightMale |
P26651
|
FINISHED |
| Object | about 1.2–1.5 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: about 1.2–1.5 m | Statement: [Cervus elaphus, shoulderHeightMale, about 1.2–1.5 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoulderHeightMale Context triple: [Cervus elaphus, shoulderHeightMale, about 1.2–1.5 m]
-
A.
averageMaleShoulderHeight
chosen
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
B.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
C.
heightInInches
Indicates that one entity has a specific height measured in inches.
-
D.
heightInCentimetres
Indicates the numerical value of an entity’s height measured in centimetres.
-
E.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
- 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.