Triple

T7792850
Position Surface form Disambiguated ID Type / Status
Subject Dinamo Tirana E180222 entity
Predicate rival P437 FINISHED
Object KF Tirana E177269 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: KF Tirana | Statement: [Dinamo Tirana, rival, KF Tirana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KF Tirana
Context triple: [Dinamo Tirana, rival, KF Tirana]
  • A. KF Tirana chosen
    KF Tirana is one of Albania’s most successful and historic football clubs, based in the capital city of Tirana.
  • B. Dinamo Tirana
    Dinamo Tirana is a professional Albanian football club based in the capital city, known historically as one of the country's most successful and prominent teams.
  • C. Partizani Tirana
    Partizani Tirana is a prominent Albanian professional football club based in Tirana, known for its historic success in the country’s top league.
  • D. KF Gjilani
    KF Gjilani is a professional football club from Gjilan, Kosovo, known for competing in the Football Superleague of Kosovo and for its intense local derbies.
  • E. FC Zugdidi
    FC Zugdidi is a Georgian professional football club based in the city of Zugdidi that competes in the country’s league system.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a00b5948190a8e6184353bbd233 completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:31 p.m.