Triple
T6645364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vombatiformes |
E150685
|
entity |
| Predicate | distinguishingFromOtherDiprotodonts |
P62520
|
FINISHED |
| Object | robust body and specialized herbivory |
—
|
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: robust body and specialized herbivory | Statement: [Vombatiformes, distinguishingFromOtherDiprotodonts, robust body and specialized herbivory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishingFromOtherDiprotodonts Context triple: [Vombatiformes, distinguishingFromOtherDiprotodonts, robust body and specialized herbivory]
-
A.
hasCheekPouches
Indicates that an entity possesses cheek pouches as a physical feature.
-
B.
hasHoovesOf
Indicates that one entity possesses or is characterized by the hooves belonging to another entity.
-
C.
hasHindLegsOf
Indicates that one entity possesses or is characterized by the hind legs belonging to or derived from another entity.
-
D.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
E.
physicalCharacteristics
chosen
Indicates that one entity has or describes the bodily or material attributes, features, or appearance 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.