Triple
T13418026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austvågøy |
E313264
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Kabelvåg |
E312369
|
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: Kabelvåg | Statement: [Austvågøy, hasVillage, Kabelvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabelvåg Context triple: [Austvågøy, hasVillage, Kabelvåg]
-
A.
Kabelvåg
chosen
Kabelvåg is a historic fishing village and tourist destination in the Lofoten archipelago of northern Norway, known for its coastal scenery and traditional architecture.
-
B.
Langevåg
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
-
C.
Kabelsketal
Kabelsketal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, situated near the city of Halle (Saale).
-
D.
Tveit
Tveit is a Norwegian surname most notably borne by American actor and singer Aaron Tveit, known for his work in musical theatre, film, and television.
-
E.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.