Triple
T15359996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunnmøre |
E367264
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Sykkylven |
E367273
|
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: Sykkylven | Statement: [Sunnmøre, hasTown, Sykkylven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sykkylven Context triple: [Sunnmøre, hasTown, Sykkylven]
-
A.
Sykkylven
chosen
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
B.
Bykle
Bykle is a small rural municipality in southern Norway known for its mountainous landscapes and outdoor recreation opportunities.
-
C.
Synnervika
Synnervika is a small lakeside locality in Norway that serves as a key access point and harbor area on the shores of Lake Femunden.
-
D.
Skutvik
Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
-
E.
Skiptvet
Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.