Triple
T15760400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibestad |
E382080
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Hamnvik
Hamnvik is a small village in northern Norway that serves as the main settlement and service hub of Ibestad Municipality in Troms og Finnmark county.
|
E1278657
|
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: Hamnvik | Statement: [Ibestad, administrativeCentre, Hamnvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamnvik Context triple: [Ibestad, administrativeCentre, Hamnvik]
-
A.
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.
-
B.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
-
C.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
-
D.
Håkvik
Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
-
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: Hamnvik Triple: [Ibestad, administrativeCentre, Hamnvik]
Generated description
Hamnvik is a small village in northern Norway that serves as the main settlement and service hub of Ibestad Municipality in Troms og Finnmark county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamnvik Target entity description: Hamnvik is a small village in northern Norway that serves as the main settlement and service hub of Ibestad Municipality in Troms og Finnmark county.
-
A.
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.
-
B.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
-
C.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
-
D.
Håkvik
Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
-
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_6a01e7ff14dc819086042db64d41f5c2 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01eed32bbc81908ea9e2588e3741f8 |
completed | May 11, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef6edb7c81908bdbf4d42dd6b9aa |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 4:47 a.m.