Triple
T232571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American black bear |
E4438
|
entity |
| Predicate | maximumLifespanInCaptivity |
P585
|
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: [American black bear, maximumLifespanInCaptivity, over 30 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLifespanInCaptivity Context triple: [American black bear, maximumLifespanInCaptivity, over 30 years]
-
A.
lifespan
chosen
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
B.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
C.
extinctionPeriod
Indicates the time span during which an entity ceases to exist or is considered extinct.
-
D.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
E.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.