Triple

T3145410
Position Surface form Disambiguated ID Type / Status
Subject Mjøsa E65750 entity
Predicate northernEndNear P15231 FINISHED
Object Lillehammer E17762 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: Lillehammer | Statement: [Mjøsa, northernEndNear, Lillehammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillehammer
Context triple: [Mjøsa, northernEndNear, Lillehammer]
  • A. Lillehammer chosen
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • B. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • C. 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.
  • D. Lørenskog
    Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
  • E. Bodø
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • 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: northernEndNear
Context triple: [Mjøsa, northernEndNear, Lillehammer]
  • A. locatedAtNorthernEndOf chosen
    Indicates that one entity is situated at or near the northernmost part or extremity of another entity.
  • B. northernmostNeighborhoodOf
    Indicates that one neighborhood is located farther north than any other neighborhood within the specified area or jurisdiction.
  • C. northernShore
    Indicates that one entity is located on the northern shore or northern side of another entity, typically a body of water or coastline.
  • D. southernApproachNear
    Indicates that one entity is located near the southern approach or access route of another entity.
  • E. terminusSouthNear
    Indicates that the southern end or terminus of one entity is located close to another entity.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3608e261081908b0633bf11ea655b completed March 13, 2026, 12:55 a.m.
PD Predicate disambiguation batch_69ad9dfa3d9081908425aa636bb9b897 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:05 p.m.