Triple

T20798293
Position Surface form Disambiguated ID Type / Status
Subject Trønderbanen E511970 entity
Predicate hasStation P35 FINISHED
Object Leangen NE NERFINISHED

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: Leangen | Statement: [Trønderbanen, hasStation, Leangen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leangen
Context triple: [Trønderbanen, hasStation, Leangen]
  • A. Langenes
    Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • B. Lengnau
    Lengnau is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to the Jura mountains.
  • C. Salangen
    Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
  • D. Langesund
    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.
  • E. Lohberg
    Lohberg is a small Bavarian village in the Bavarian Forest region of Germany, known as a gateway to outdoor activities around the Großer Arber mountain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leangen
Target entity description: Leangen is a railway station in Trondheim, Norway, serving local and regional trains on the Trønderbanen line.
  • A. Langenes
    Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • B. Lengnau
    Lengnau is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to the Jura mountains.
  • C. Salangen
    Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
  • D. Langesund
    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.
  • E. Lohberg
    Lohberg is a small Bavarian village in the Bavarian Forest region of Germany, known as a gateway to outdoor activities around the Großer Arber mountain.
  • F. None of above. chosen

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.