Triple

T9910465
Position Surface form Disambiguated ID Type / Status
Subject Derby di Sicilia E185127 entity
Predicate typicalCompetition P2440 FINISHED
Object Serie B E157473 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: Serie B | Statement: [Derby di Sicilia, typicalCompetition, Serie B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serie B
Context triple: [Derby di Sicilia, typicalCompetition, Serie B]
  • A. Serie B chosen
    Serie B is the second-highest professional football league in the Italian league system, sitting directly below Serie A.
  • B. Serie C
    Serie C is the third tier of professional football in the Italian league system, sitting below Serie A and Serie B.
  • C. Lega Serie A
    Lega Serie A is the organizing and administrative body responsible for managing Italy’s top professional football league and related competitions.
  • D. Serie D
    Serie D is the top level of non-professional football in Italy, sitting just below the fully professional leagues in the Italian football pyramid.
  • E. Serie A
    Serie A is Italy’s top professional football league, renowned for its historic clubs, tactical style of play, and world-class players.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb512a26881908eb72a21ffb1efef completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d22c56081909c3e4b8ca0e81fe7 completed April 5, 2026, 10:44 a.m.
Created at: March 30, 2026, 8:41 p.m.