Triple
T29485310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangai |
E747902
|
entity |
| Predicate | hasAntlerShape |
P31784
|
FINISHED |
| Object | brow-tine antlers with distinctive curve |
—
|
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: brow-tine antlers with distinctive curve | Statement: [Sangai, hasAntlerShape, brow-tine antlers with distinctive curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntlerShape Context triple: [Sangai, hasAntlerShape, brow-tine antlers with distinctive curve]
-
A.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
B.
antlerType
chosen
Indicates the specific kind or classification of antlers that an entity possesses or is associated with.
-
C.
hasAntennae
Indicates that one entity possesses or is equipped with antennae as a physical feature.
-
D.
hasHorns
Indicates that an entity possesses horns as a physical feature.
-
E.
antlerLength
Indicates the measured length of an entity’s antlers in some specified unit.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 4:07 p.m.