Triple
T11358284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telavåg reprisals |
E269017
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vestland |
E75761
|
NE 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: Vestland | Statement: [Telavåg reprisals, locatedIn, Vestland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vestland Context triple: [Telavåg reprisals, locatedIn, Vestland]
-
A.
Vestland
chosen
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Vestlandet
Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
-
C.
Albvorland
Albvorland is a scenic foreland region at the foot of the Swabian Jura in southern Germany, characterized by rolling landscapes and views toward the Alb plateau.
-
D.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
-
E.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea42fe608190b9c71dd63f8780f3 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556542ecc8190a8109c17944598ab |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.