Triple
T15760399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibestad |
E382080
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Hamnvåg
Hamnvåg is a small village in Troms og Finnmark county, Norway, known for serving as the local hub of municipal services for the surrounding island community.
|
E1213601
|
NE FINISHED |
How this triple was built (4 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: Hamnvåg | Statement: [Ibestad, administrativeCentre, Hamnvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamnvåg Context triple: [Ibestad, administrativeCentre, Hamnvåg]
-
A.
Hundvåg
Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
-
B.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
C.
Kårvåg
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
-
D.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
E.
Vikevåg
Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hamnvåg Triple: [Ibestad, administrativeCentre, Hamnvåg]
Generated description
Hamnvåg is a small village in Troms og Finnmark county, Norway, known for serving as the local hub of municipal services for the surrounding island community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamnvåg Target entity description: Hamnvåg is a small village in Troms og Finnmark county, Norway, known for serving as the local hub of municipal services for the surrounding island community.
-
A.
Hundvåg
Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
-
B.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
C.
Kårvåg
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
-
D.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
E.
Vikevåg
Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
- F. None of above. chosen
Provenance (5 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_69e050b52c548190a0ffa4493a4eb15c |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456b590c8190949fd23cb5cec1e8 |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a004771e5108190a7fd4f6e274e455a |
completed | May 10, 2026, 8:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00482646c88190a8e3a5299146b504 |
completed | May 10, 2026, 8:56 a.m. |
Created at: April 10, 2026, 4:47 a.m.