Triple

T1423725
Position Surface form Disambiguated ID Type / Status
Subject Galatasaray SK E30281 entity
Predicate league P888 FINISHED
Object Süper Lig E83264 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: Süper Lig | Statement: [Galatasaray SK, league, Süper Lig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Süper Lig
Context triple: [Galatasaray SK, league, Süper Lig]
  • A. Süper Lig chosen
    Süper Lig is the top professional football division in Turkey, featuring the country’s leading clubs in the highest level of national competition.
  • B. Erovnuli Liga
    Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
  • C. European Top Five Leagues
    The European Top Five Leagues refers collectively to the most prestigious and competitive national football leagues in Europe, commonly including the top divisions in England, Spain, Germany, Italy, and France.
  • D. La Liga
    La Liga is Spain’s top professional football division, renowned as one of the world’s strongest leagues and home to clubs like Real Madrid and FC Barcelona.
  • E. Ekstraklasa
    Ekstraklasa is the top professional football league in Poland, featuring the country’s highest-level clubs.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bc145c8190a2d7a1d755d18251 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0161e23c819099a1c72627f13dd0 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.