Triple
T7145000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porcupine caribou herd |
E166539
|
entity |
| Predicate | hasWinterRangeIn |
P19711
|
FINISHED |
| Object | boreal forest of Yukon |
—
|
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: boreal forest of Yukon | Statement: [Porcupine caribou herd, hasWinterRangeIn, boreal forest of Yukon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinterRangeIn Context triple: [Porcupine caribou herd, hasWinterRangeIn, boreal forest of Yukon]
-
A.
hasSeasonalSpecies
Indicates that certain species are present or occur only during specific seasons in relation to a given context or location.
-
B.
wintersIn
chosen
Indicates that an entity spends the winter season in a particular place or region.
-
C.
lastRecordedWinteringLocation
Indicates the most recent location where an entity was known to spend the winter season.
-
D.
overwintersAs
Indicates that an organism survives through the winter in a particular life stage, form, or condition.
-
E.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d1652c8190973edceab55f04bc |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.