Triple
T8551365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mountain beaver |
E202450
|
entity |
| Predicate | physiologicalTrait |
P40326
|
FINISHED |
| Object | primitive kidney structure |
—
|
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: primitive kidney structure | Statement: [mountain beaver, physiologicalTrait, primitive kidney structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physiologicalTrait Context triple: [mountain beaver, physiologicalTrait, primitive kidney structure]
-
A.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
B.
physicalCharacteristics
Indicates that one entity has or describes the bodily or material attributes, features, or appearance of another entity.
-
C.
domesticationTrait
Indicates that an entity possesses a characteristic or feature that contributes to or results from its domestication by another species.
-
D.
genomeCharacteristic
Indicates that an entity has a specific property, feature, or attribute related to its genome.
-
E.
studiesTrait
Indicates that one entity conducts research or examination focused on a particular trait or characteristic 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.