Triple
T15690381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bømlo Municipality |
E380311
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Finnås |
E389214
|
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: Finnås | Statement: [Bømlo Municipality, hasSettlement, Finnås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finnås Context triple: [Bømlo Municipality, hasSettlement, Finnås]
-
A.
Finnås
chosen
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
B.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
-
C.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
-
D.
Fyresdal
Fyresdal is a rural municipality in Telemark county, Norway, known for its forests, lakes, and traditional farming communities.
-
E.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014134601c81909f7f4a95d558e067 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 4:44 a.m.