Triple
T232564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American black bear |
E4438
|
entity |
| Predicate | hibernates |
P10165
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [American black bear, hibernates, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hibernates Context triple: [American black bear, hibernates, yes]
-
A.
derby
Indicates a competitive match or contest, typically between closely linked or rival entities (such as teams from the same area or group).
-
B.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
C.
hasDialects
Indicates that an entity (typically a language) possesses one or more distinct dialectal varieties.
-
D.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
E.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a25f1450f08190872bcf58a32d506b |
completed | Feb. 28, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.