Triple
T18707316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grue |
E457404
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Åsnes |
—
|
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: Åsnes | Statement: [Grue, borderedBy, Åsnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åsnes Context triple: [Grue, borderedBy, Åsnes]
-
A.
Åsnes
chosen
Åsnes is a rural municipality in Innlandet county in eastern Norway, known for its forests, agriculture, and location in the traditional region of Solør.
-
B.
Austevoll
Austevoll is a Norwegian island municipality known for its fishing industry and scenic coastal landscape, located off the west coast in the former county of Hordaland.
-
C.
Lysnes
Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
-
D.
Tvedestrand
Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
-
E.
Selje
Selje is a small coastal village and former municipality in western Norway, known for its scenic fjord landscape and the historic Selja Monastery ruins.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.