Triple
T21810687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercartetus |
E538462
|
entity |
| Predicate | usesPhysiologicalState |
P40326
|
FINISHED |
| Object | daily torpor |
—
|
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: daily torpor | Statement: [Cercartetus, usesPhysiologicalState, daily torpor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPhysiologicalState Context triple: [Cercartetus, usesPhysiologicalState, daily torpor]
-
A.
bodyState
Indicates the physical condition or status that an entity’s body is currently in.
-
B.
currentPhysicalStatus
Indicates the present condition or state of an entity’s physical being or body.
-
C.
hasPhysicalNature
Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
-
D.
hydrationState
Indicates the current level or condition of how much water or fluid an entity contains or has available.
-
E.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc5fd948190a404a050404db975 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.