Triple
T7034412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region of Kainuu |
E163343
|
entity |
| Predicate | hasRegionalFish |
P45992
|
FINISHED |
| Object | whitefish |
—
|
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: whitefish | Statement: [Region of Kainuu, hasRegionalFish, whitefish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalFish Context triple: [Region of Kainuu, hasRegionalFish, whitefish]
-
A.
hasFishingSpecies
chosen
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
B.
hasPrimaryFishSpecies
Indicates that an entity is characterized by or associated with a particular main or dominant fish species.
-
C.
containsFishery
Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
-
D.
stateFish
Indicates that an entity is a fish that serves as the official state fish of a particular political region.
-
E.
recognizedAsStateFishSince
Indicates that an entity has been officially designated as the state fish of a particular jurisdiction starting from a specified date.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.