Triple

T10462229
Position Surface form Disambiguated ID Type / Status
Subject Bamble E246703 entity
Predicate containsSettlement P847 FINISHED
Object Langesund E246702 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: Langesund | Statement: [Bamble, containsSettlement, Langesund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langesund
Context triple: [Bamble, containsSettlement, Langesund]
  • A. Langesund chosen
    Langesund is a coastal town in southern Norway known historically as a shipping and timber port and now as a popular summer and ferry destination.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Langevåg
    Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
  • E. Olderdalen
    Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50884fac48190af22e181b1492557 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fcc84b48190a39de0d9b9111ebd completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.