Triple

T23483742
Position Surface form Disambiguated ID Type / Status
Subject Asker municipality E570473 entity
Predicate containsSettlement P847 FINISHED
Object Billingstad NE NERFINISHED

How this triple was built (2 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: Billingstad | Statement: [Asker municipality, containsSettlement, Billingstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billingstad
Context triple: [Asker municipality, containsSettlement, Billingstad]
  • A. Billingstad chosen
    Billingstad is a village and suburban area in Asker municipality in Viken county, Norway, known for its residential neighborhoods and commercial centers.
  • B. Borgestad
    Borgestad is a village and industrial area in Telemark, Norway, known for its historic manor and former cement production.
  • C. Erstad
    Erstad is the surname of former Major League Baseball player and World Series champion Darin Erstad.
  • D. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • E. Stadlandet
    Stadlandet is a rugged coastal peninsula in western Norway known for its exposed position to the North Atlantic and challenging maritime conditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.