Triple

T3922427
Position Surface form Disambiguated ID Type / Status
Subject Udine E93190 entity
Predicate demonym P191 FINISHED
Object Udinese E230486 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: Udinese | Statement: [Udine, demonym, Udinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udinese
Context triple: [Udine, demonym, Udinese]
  • A. Udinese Calcio chosen
    Udinese Calcio is a professional Italian football club based in Udine, known for its long Serie A history and strong player development and scouting network.
  • B. U.C. Sampdoria
    U.C. Sampdoria is a professional Italian football club based in Genoa that competes in the country’s league system and is known for its distinctive blue, white, red, and black striped kit.
  • C. Reggina
    Reggina is an Italian professional football club from Reggio Calabria, known for its passionate fan base and history of competing in the country's top divisions.
  • D. Sassuolo
    Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
  • E. Fiorentina
    Fiorentina is a prominent professional football club based in Florence, Italy, known for its rich history, passionate fanbase, and distinctive purple kits.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7a553c81909b65f8287293ecac completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53384bca08190af13ac3a417d8827 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:22 p.m.