Triple

T5707054
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm SK E125809 entity
Predicate hasRivalryWith P893 FINISHED
Object Skeid E537570 NE FINISHED

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: [Lillestrøm SK, hasRivalryWith, Skeid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skeid
Context triple: [Lillestrøm SK, hasRivalryWith, Skeid]
  • A. Skeid chosen
    Skeid is a Norwegian sports club best known for its football team and local rivalry with Lyn in Oslo.
  • B. Skibotn
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • C. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Evenskjer
    Evenskjer is a small village in Northern Norway that serves as an administrative and service center in the Troms region.
  • E. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:45 p.m.