Triple
T9491932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traguloidea |
E228910
|
entity |
| Predicate | hasTeethFeature |
P78895
|
FINISHED |
| Object | males often with elongated upper canines |
—
|
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: males often with elongated upper canines | Statement: [Traguloidea, hasTeethFeature, males often with elongated upper canines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeethFeature Context triple: [Traguloidea, hasTeethFeature, males often with elongated upper canines]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
distinguishingDentalFeature
chosen
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
C.
hasTypeOfMouth
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
D.
hasMandibles
Indicates that an entity possesses mandibles, i.e., jaw-like mouthparts used for biting, cutting, or holding.
-
E.
hasBeak
Indicates that an entity possesses a beak as a physical anatomical feature.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.