Triple
T18549828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunamiut Iñupiat |
E453341
|
entity |
| Predicate | seasonalMovementReason |
P73116
|
FINISHED |
| Object | following caribou herds |
—
|
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: following caribou herds | Statement: [Nunamiut Iñupiat, seasonalMovementReason, following caribou herds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalMovementReason Context triple: [Nunamiut Iñupiat, seasonalMovementReason, following caribou herds]
-
A.
hasSeasonalMigration
chosen
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
-
B.
peakSeasonReason
Indicates that there is a specific cause or justification for why a given time period is considered the peak season for something.
-
C.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
D.
seasonalDirection
Indicates the direction or trend of change in a phenomenon as it varies across different seasons.
-
E.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.