Triple

T8606079
Position Surface form Disambiguated ID Type / Status
Subject Ballangen E203800 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Ofoten E322908 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: Ofoten | Statement: [Ballangen, locatedInAdministrativeTerritorialEntity, Ofoten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofoten
Context triple: [Ballangen, locatedInAdministrativeTerritorialEntity, Ofoten]
  • A. Ofoten chosen
    Ofoten is a district in Nordland county in northern Norway, known for its fjords, mountains, and the port town of Narvik.
  • B. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • C. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • D. Raufoss
    Raufoss is an industrial town in Norway known for its manufacturing sector, particularly in defense and automotive components.
  • E. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46e9b6a881908f6a6c847519e5e5 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea900cf708190abb550f592edbdf6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.