Triple

T5420317
Position Surface form Disambiguated ID Type / Status
Subject Søre Ål E121231 entity
Predicate hasMunicipalityCenter P1474 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: [Søre Ål, hasMunicipalityCenter, Lillehammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillehammer
Context triple: [Søre Ål, hasMunicipalityCenter, 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: hasMunicipalityCenter
Context triple: [Søre Ål, hasMunicipalityCenter, Lillehammer]
  • A. hasPopulationCenter
    Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
  • B. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • C. hasAdministrativeCenter chosen
    Indicates that an administrative unit (such as a region, district, or municipality) has a specific place designated as its main governing or administrative center.
  • D. hasPopulationCenterType
    Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
  • E. isMajorAdministrativeCentre
    Indicates that a location functions as the primary hub for governmental and administrative activities within a larger region or jurisdiction.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e8f1cc81908b997f8a417697c0 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c548a40819086910fbc39b21e90 completed March 22, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69bd8469f5e48190bbe5c8bdfe8925ea completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.