Triple

T5652489
Position Surface form Disambiguated ID Type / Status
Subject Norwegian railway network E124536 entity
Predicate hasTerminusCity P1866 FINISHED
Object Narvik E33599 NE FINISHED

How this triple was built (3 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: Narvik | Statement: [Norwegian railway network, hasTerminusCity, Narvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narvik
Context triple: [Norwegian railway network, hasTerminusCity, Narvik]
  • A. Narvik chosen
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • B. Kiruna
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • C. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerminusCity
Context triple: [Norwegian railway network, hasTerminusCity, Narvik]
  • A. hasEndpointCity
    Indicates that a route, connection, or path terminates at a particular city as one of its endpoints.
  • B. hasTargetCity
    Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
  • C. terminusCity chosen
    Indicates that a transportation route or service ends or has its final stop in a particular city.
  • D. hasCityPair
    Indicates a relationship that links two cities considered as a connected or associated pair, often for purposes such as travel, trade, or comparison.
  • E. hasIntermediateCity
    Indicates that there is a city located between two other places along a route or connection.
  • F. None of above.

Provenance (4 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d941ea4819084bab644d6cc2153 completed March 22, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:42 p.m.