Triple
T15750989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsáŋgguvuotna |
E381842
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Børselv |
E382082
|
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: Børselv | Statement: [Porsáŋgguvuotna, hasNearbySettlement, Børselv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Børselv Context triple: [Porsáŋgguvuotna, hasNearbySettlement, Børselv]
-
A.
Børselv
chosen
Børselv is a small coastal village in northern Norway known for its scenic Arctic surroundings and traditional Sámi cultural heritage.
-
B.
Bøstad
Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
-
C.
Sölvesborg
Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
-
D.
Henningsvær
Henningsvær is a picturesque fishing village in northern Norway, known for its traditional architecture, dramatic coastal scenery, and vibrant arts and tourism scene.
-
E.
Bærum
Bærum is a wealthy suburban municipality just west of Oslo, Norway, known for its high standard of living and residential communities.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.