Triple
T25475310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiatic black bear |
E638413
|
entity |
| Predicate | maximumLongevityInCaptivity |
P49304
|
FINISHED |
| Object | over 30 years |
—
|
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: over 30 years | Statement: [Asiatic black bear, maximumLongevityInCaptivity, over 30 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLongevityInCaptivity Context triple: [Asiatic black bear, maximumLongevityInCaptivity, over 30 years]
-
A.
averageLifespanCaptivity
Indicates the typical length of time an entity lives when kept in captivity.
-
B.
maximumRecordedLifespan
chosen
Indicates the greatest length of time that has ever been recorded for an individual of a given type to live.
-
C.
lifespanInWildApprox
Indicates an approximate duration of time that an organism typically lives in the wild.
-
D.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
E.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 2:25 p.m.