Triple
T15360343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula |
E367272
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Langevåg |
E494772
|
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: Langevåg | Statement: [Sula, contains, Langevåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langevåg Context triple: [Sula, contains, Langevåg]
-
A.
Langevåg
chosen
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
-
B.
Lelång
Lelång is a large freshwater lake in the Swedish province of Dalsland, known for its scenic forested shores and popular canoeing routes.
-
C.
Langesund
Langesund is a coastal town in southern Norway known historically as a shipping and timber port and now as a popular summer and ferry destination.
-
D.
Kabelvåg
Kabelvåg is a historic fishing village and tourist destination in the Lofoten archipelago of northern Norway, known for its coastal scenery and traditional architecture.
-
E.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
- 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_69ff1343862481908962dfe0ab946b97 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.