Triple

T15243719
Position Surface form Disambiguated ID Type / Status
Subject Nordland Line E364322 entity
Predicate hasStation P35 FINISHED
Object Bodø Station E1150553 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 Station | Statement: [Nordland Line, hasStation, Bodø Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodø Station
Context triple: [Nordland Line, hasStation, Bodø Station]
  • A. Bodø Station chosen
    Bodø Station is the main railway terminus in the city of Bodø in northern Norway, serving as a key transport hub above the Arctic Circle.
  • B. Stavanger Station
    Stavanger Station is a major railway hub in southwestern Norway, serving as the primary terminus and connection point for regional and long-distance train services in the Stavanger area.
  • C. Steinkjer Station
    Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
  • D. Oppdal Station
    Oppdal Station is a railway station in the village of Oppdal, Norway, serving as a stop on the Dovre Line between Oslo and Trondheim.
  • E. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a63464c8190afab59257c6a2095 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:13 a.m.