Triple

T17088513
Position Surface form Disambiguated ID Type / Status
Subject Rebbenesøya E414662 entity
Predicate hasSettlement P1068 FINISHED
Object Vannvåg
Vannvåg is a small coastal settlement in northern Norway, known for its fishing activities and scenic Arctic surroundings.
E1248283 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: Vannvåg | Statement: [Rebbenesøya, hasSettlement, Vannvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vannvåg
Context triple: [Rebbenesøya, hasSettlement, Vannvåg]
  • A. Vannvåg
    Vannvåg is a small coastal village and fishing settlement located on the island of Ringvassøya in northern Norway.
  • B. Tveitevåg
    Tveitevåg is a small coastal village in western Norway, located on the island of Askøy in Vestland county.
  • C. Veavågen
    Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
  • D. Hvasser
    Hvasser is a coastal island in Vestfold og Telemark, Norway, known for its fishing villages, beaches, and role as a popular summer holiday destination.
  • E. Veddesta
    Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
  • 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: Vannvåg
Triple: [Rebbenesøya, hasSettlement, Vannvåg]
Generated description
Vannvåg is a small coastal settlement in northern Norway, known for its fishing activities and scenic Arctic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vannvåg
Target entity description: Vannvåg is a small coastal settlement in northern Norway, known for its fishing activities and scenic Arctic surroundings.
  • A. Vannvåg chosen
    Vannvåg is a small coastal village and fishing settlement located on the island of Ringvassøya in northern Norway.
  • B. Tveitevåg
    Tveitevåg is a small coastal village in western Norway, located on the island of Askøy in Vestland county.
  • C. Veavågen
    Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
  • D. Hvasser
    Hvasser is a coastal island in Vestfold og Telemark, Norway, known for its fishing villages, beaches, and role as a popular summer holiday destination.
  • E. Veddesta
    Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
  • F. None of above.

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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.