Triple

T8065940
Position Surface form Disambiguated ID Type / Status
Subject Fabrizio Miccoli E188242 entity
Predicate captainOf P884 FINISHED
Object U.S. Città di Palermo E185126 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: U.S. Città di Palermo | Statement: [Fabrizio Miccoli, captainOf, U.S. Città di Palermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U.S. Città di Palermo
Context triple: [Fabrizio Miccoli, captainOf, U.S. Città di Palermo]
  • A. US Città di Palermo chosen
    US Città di Palermo was the former name of Palermo FC, a professional football club based in Palermo, Sicily, known for competing in the Italian football league system and sporting pink and black colors.
  • B. U.S. Lecce
    U.S. Lecce is an Italian professional football club based in Lecce, Apulia, known for competing in Serie A and Serie B and for its passionate local fanbase.
  • C. Tusa
    Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
  • D. Palermo Hollywood
    Palermo Hollywood is a trendy neighborhood in Buenos Aires known for its vibrant nightlife, restaurants, and television and film production studios.
  • E. UNO City
    UNO City is a major United Nations complex in Vienna that hosts several UN organizations and international agencies.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93dc680081908510daf008f18b2c completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:26 p.m.