Triple
T20836899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiklestad |
E512981
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Innherred |
—
|
NE NERFINISHED |
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: Innherred | Statement: [Stiklestad, region, Innherred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innherred Context triple: [Stiklestad, region, Innherred]
-
A.
Innherred
chosen
Innherred is a traditional district in central Norway known for its fertile agricultural landscape and historic towns along the inner Trondheimsfjord.
-
B.
Aurland Municipality
Aurland Municipality is a scenic local government area in western Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
-
C.
Hol Municipality
Hol Municipality is a mountainous municipality in Viken county, Norway, known for its ski resorts, highland landscapes, and parts of the Hardangervidda plateau.
-
D.
Innlandet
Innlandet is an island district of the Norwegian town of Kristiansund, known for its traditional wooden houses and coastal maritime character.
-
E.
Innlandet
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3280a1881909a86d1fe498aee50 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.