Triple

T22792467
Position Surface form Disambiguated ID Type / Status
Subject Hill of San Matteo E564148 entity
Predicate locatedIn P40 FINISHED
Object Scicli NE NERFINISHED

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: Scicli | Statement: [Hill of San Matteo, locatedIn, Scicli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scicli
Context triple: [Hill of San Matteo, locatedIn, Scicli]
  • A. Scicli chosen
    Scicli is a historic town in southeastern Sicily renowned for its richly ornamented Sicilian Baroque architecture and picturesque setting.
  • B. Miccoli
    Miccoli is an Italian surname most notably associated with former professional footballer Fabrizio Miccoli.
  • C. Scisciano
    Scisciano is a small Italian town in the Campania region, situated in the fertile plain near Naples.
  • D. Mastroeni
    Mastroeni is the surname of Pablo Mastroeni, a former professional soccer player and coach best known for his career with the U.S. national team and Major League Soccer.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd5778c81909a18317ff98e341c completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.