Triple

T14126195
Position Surface form Disambiguated ID Type / Status
Subject Øksnes E340039 entity
Predicate hasSettlement P1068 FINISHED
Object Alsvåg
Alsvåg is a small coastal village in Nordland county, Norway, known for its fishing industry and scenic location within the municipality of Øksnes.
E1110176 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: Alsvåg | Statement: [Øksnes, hasSettlement, Alsvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsvåg
Context triple: [Øksnes, hasSettlement, Alsvåg]
  • A. Tromsø
    Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
  • B. Bodø
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • C. Piteå
    Piteå is a coastal town in northern Sweden known for its historic wooden architecture, archipelago, and role as a regional cultural and industrial center in Norrbotten County.
  • D. Andenes
    Andenes is a small coastal village in northern Norway known for its Arctic location, fishing heritage, and whale-watching tourism.
  • E. Melbu
    Melbu is a small coastal village and fishing community in Hadsel Municipality in Nordland county, Norway.
  • 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: Alsvåg
Triple: [Øksnes, hasSettlement, Alsvåg]
Generated description
Alsvåg is a small coastal village in Nordland county, Norway, known for its fishing industry and scenic location within the municipality of Øksnes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alsvåg
Target entity description: Alsvåg is a small coastal village in Nordland county, Norway, known for its fishing industry and scenic location within the municipality of Øksnes.
  • A. Tromsø
    Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
  • B. Bodø
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • C. Piteå
    Piteå is a coastal town in northern Sweden known for its historic wooden architecture, archipelago, and role as a regional cultural and industrial center in Norrbotten County.
  • D. Andenes
    Andenes is a small coastal village in northern Norway known for its Arctic location, fishing heritage, and whale-watching tourism.
  • E. Melbu
    Melbu is a small coastal village and fishing community in Hadsel Municipality in Nordland county, Norway.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda902c598819083c5373172ed758e completed May 8, 2026, 9:12 a.m.
NEDg Description generation batch_69fdb169e534819084c9e7db6d6eddce completed May 8, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69fdb238752481909fa2efd6b860943a completed May 8, 2026, 9:51 a.m.
Created at: April 9, 2026, 10:22 p.m.