Triple

T15844953
Position Surface form Disambiguated ID Type / Status
Subject Bodø Harbour E384190 entity
Predicate hasNearbyInfrastructure P231 FINISHED
Object Bodø town centre E77659 NE FINISHED

How this triple was built (2 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: Bodø town centre | Statement: [Bodø Harbour, hasNearbyInfrastructure, Bodø town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodø town centre
Context triple: [Bodø Harbour, hasNearbyInfrastructure, Bodø town centre]
  • A. Bodø chosen
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • B. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • C. Bodø Harbour
    Bodø Harbour is a key coastal port in the Norwegian town of Bodø, serving as an important hub for regional shipping, fishing, and ferry traffic in northern Norway.
  • D. Melbu
    Melbu is a small coastal village and fishing community in Hadsel Municipality in Nordland county, Norway.
  • E. Beitstad
    Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.