Triple

T21775788
Position Surface form Disambiguated ID Type / Status
Subject Skeid E537570 entity
Predicate shortName P43 FINISHED
Object Skeid 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: Skeid | Statement: [Skeid, shortName, Skeid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skeid
Context triple: [Skeid, shortName, Skeid]
  • A. Skeid chosen
    Skeid is a Norwegian sports club best known for its football team and local rivalry with Lyn in Oslo.
  • B. Skei
    Skei is a village in Møre og Romsdal county, Norway, serving as the main local hub for services and governance in the Surnadal area.
  • C. Skibotn
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • D. Fjæra
    Fjæra is a small village in Etne Municipality in Vestland county, western Norway, situated at the innermost part of the Åkrafjorden.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.