Triple
T5154005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mountain caribou |
E116264
|
entity |
| Predicate | winterForageDependsOn |
P62264
|
FINISHED |
| Object | arboreal lichens on old-growth trees |
—
|
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: arboreal lichens on old-growth trees | Statement: [mountain caribou, winterForageDependsOn, arboreal lichens on old-growth trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterForageDependsOn Context triple: [mountain caribou, winterForageDependsOn, arboreal lichens on old-growth trees]
-
A.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
B.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
C.
winterAscentFirstBy
Indicates that the referenced ascent is the first successful climb of a route, peak, or face carried out specifically in winter conditions by the specified climber or party.
-
D.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
E.
requiresFrostFreeSeason
Indicates that the subject depends on a period without frost to grow, develop, or function properly.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.