Triple
T8467060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glires |
E200189
|
entity |
| Predicate | hasDentalAdaptations |
P35359
|
FINISHED |
| Object | gnawing and herbivory in member taxa |
—
|
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: gnawing and herbivory in member taxa | Statement: [Glires, hasDentalAdaptations, gnawing and herbivory in member taxa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDentalAdaptations Context triple: [Glires, hasDentalAdaptations, gnawing and herbivory in member taxa]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
hasMandibles
Indicates that an entity possesses mandibles, i.e., jaw-like mouthparts used for biting, cutting, or holding.
-
C.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
D.
dentition
chosen
Indicates the type, arrangement, or condition of teeth that an entity possesses.
-
E.
hasClaws
Indicates that one entity possesses claws as a physical feature or attribute.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d2eb648190b606411eb6a8f7ea |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.