Triple

T13798282
Position Surface form Disambiguated ID Type / Status
Subject Hedmark Museum E331572 entity
Predicate formerlyServedRegion P27947 FINISHED
Object Hedmark county E102451 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: Hedmark county | Statement: [Hedmark Museum, formerlyServedRegion, Hedmark county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hedmark county
Context triple: [Hedmark Museum, formerlyServedRegion, Hedmark county]
  • A. Hedmark chosen
    Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
  • B. Hedmarken
    Hedmarken is a traditional district in Innlandet county in eastern Norway, known for its agricultural landscapes and its central town, Hamar.
  • C. Akershus county
    Akershus county was a former county in southeastern Norway that historically surrounded Oslo and included both urban suburbs and rural areas before being merged into Viken county.
  • D. Trøndelag County
    Trøndelag County is a large region in central Norway known for its historic city of Trondheim, coastal and fjord landscapes, and role as a cultural and economic hub of the country.
  • E. Oslo county
    Oslo county is Norway’s capital county, encompassing the city of Oslo and serving as the country’s political, economic, and cultural center.
  • 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: formerlyServedRegion
Context triple: [Hedmark Museum, formerlyServedRegion, Hedmark county]
  • A. formerServesRegion chosen
    Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
  • B. formerRegionBefore2016
    Indicates that an entity was recognized as a region prior to the year 2016 but no longer holds that regional status after 2016.
  • C. servedProvince
    Indicates that an entity has provided services or held jurisdictional authority over a specified province.
  • D. serviceRegion
    Indicates the geographic area or jurisdiction within which a service is provided or applicable.
  • E. wasAdministrativeRegionFrom
    Indicates that an entity served as an administrative region of another entity starting from a specified point in time.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a011b2fc8f88190b9bd2887149e3d68 completed May 10, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69dbc85fb600819098a2aab48169be96 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:11 p.m.