Triple

T17045219
Position Surface form Disambiguated ID Type / Status
Subject Ringvassøya E413549 entity
Predicate hasSettlement P1068 FINISHED
Object Rebbeneshamn
Rebbeneshamn is a small coastal village located on the island of Ringvassøya in northern Norway.
E1248285 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: Rebbeneshamn | Statement: [Ringvassøya, hasSettlement, Rebbeneshamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebbeneshamn
Context triple: [Ringvassøya, hasSettlement, Rebbeneshamn]
  • A. Strusshamn
    Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
  • B. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • C. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • D. Mosterhamn
    Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
  • E. Bruttenholm
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • 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: Rebbeneshamn
Triple: [Ringvassøya, hasSettlement, Rebbeneshamn]
Generated description
Rebbeneshamn is a small coastal village located on the island of Ringvassøya in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rebbeneshamn
Target entity description: Rebbeneshamn is a small coastal village located on the island of Ringvassøya in northern Norway.
  • A. Strusshamn
    Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
  • B. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • C. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • D. Mosterhamn
    Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
  • E. Bruttenholm
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a0124f158a08190a803b37378a2c253 completed May 11, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a012569322081908b60694851d50e4b completed May 11, 2026, 12:40 a.m.
Created at: April 10, 2026, 5:33 a.m.