Triple

T21775678
Position Surface form Disambiguated ID Type / Status
Subject Oslo–Trondheim E537566 entity
Predicate hasMajorIntermediateStop P24280 FINISHED
Object Lillehammer 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: Lillehammer | Statement: [Oslo–Trondheim, hasMajorIntermediateStop, Lillehammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillehammer
Context triple: [Oslo–Trondheim, hasMajorIntermediateStop, Lillehammer]
  • A. Lillehammer chosen
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • B. Lillehammer prosti
    Lillehammer prosti is a deanery within the Church of Norway that oversees several parishes in and around the town of Lillehammer.
  • C. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • D. Tromsø
    Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
  • E. Lørenskog
    Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
  • 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: hasMajorIntermediateStop
Context triple: [Oslo–Trondheim, hasMajorIntermediateStop, Lillehammer]
  • A. hasIntermediateStation chosen
    Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
  • B. numberOfIntermediateStops
    Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
  • C. hasIntermediateCity
    Indicates that there is a city located between two other places along a route or connection.
  • D. hasStopoverState
    Indicates that an entity’s journey or process includes an intermediate stop or temporary state before reaching its final destination or outcome.
  • E. intermediateOriginOnFinalItinerary
    Indicates that an entity serves as a non-final (intermediate) stop or origin point along a complete, final travel itinerary.
  • F. None of above.

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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
PD Predicate disambiguation batch_69e6be6299988190a34c98fa76d94700 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:51 p.m.