Triple
T16027185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremanger |
E388745
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Hauge
Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
|
E1301176
|
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: Hauge | Statement: [Bremanger, hasSettlement, Hauge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hauge Context triple: [Bremanger, hasSettlement, Hauge]
-
A.
Håvik
Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
-
B.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
C.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
D.
Sagene
Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
-
E.
Haugesund
Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
- 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: Hauge Triple: [Bremanger, hasSettlement, Hauge]
Generated description
Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hauge Target entity description: Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
-
A.
Håvik
Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
-
B.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
C.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
D.
Sagene
Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
-
E.
Haugesund
Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034307ff088190874d6c00f2741400 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03445913088190b8662601da93a3ab |
completed | May 12, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034517f4148190864d916f4d1ef5ba |
completed | May 12, 2026, 3:19 p.m. |
Created at: April 10, 2026, 4:56 a.m.