Triple

T3485210
Position Surface form Disambiguated ID Type / Status
Subject The Whites E73589 entity
Predicate hasRivalryWith P893 FINISHED
Object Galatasaray S.K. E30281 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: Galatasaray S.K. | Statement: [The Whites, hasRivalryWith, Galatasaray S.K.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galatasaray S.K.
Context triple: [The Whites, hasRivalryWith, Galatasaray S.K.]
  • A. Galatasaray SK chosen
    Galatasaray SK is a major Turkish multi-sport club best known for its successful football team, based in Istanbul.
  • B. Fenerbahce SK
    Fenerbahçe SK is one of Turkey’s most prominent multi-sport clubs, best known for its successful football team and large, passionate fan base.
  • C. Besiktas JK
    Beşiktaş JK is one of Turkey’s most prominent and historic multi-sport clubs, best known for its successful professional football team.
  • D. MKE Ankaragücü
    MKE Ankaragücü is a professional Turkish sports club best known for its football team, traditionally representing the capital city Ankara in the country’s top leagues.
  • E. Göztepe S.K.
    Göztepe S.K. is a professional Turkish football club based in İzmir, known for its passionate fan base and historic presence in Turkish football.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb8f205c8190aa6f7484ebad14bb completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b368248f9c81908a1905a705e57c53 completed March 13, 2026, 1:28 a.m.
Created at: March 8, 2026, 3:17 p.m.