Triple

T18113191
Position Surface form Disambiguated ID Type / Status
Subject Skjåk E433532 entity
Predicate administrativeCentre P1474 FINISHED
Object Bismo 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: Bismo | Statement: [Skjåk, administrativeCentre, Bismo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bismo
Context triple: [Skjåk, administrativeCentre, Bismo]
  • A. Bismo chosen
    Bismo is a village in Innlandet county, Norway, serving as the main local hub for services and commerce in Skjåk municipality.
  • B. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • C. Buota
    Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • D. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • E. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.