Triple

T6496544
Position Surface form Disambiguated ID Type / Status
Subject Gioffre Borgia E148173 entity
Predicate associatedWith P37 FINISHED
Object Alvito E434939 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: Alvito | Statement: [Gioffre Borgia, associatedWith, Alvito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvito
Context triple: [Gioffre Borgia, associatedWith, Alvito]
  • A. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • B. Boselli
    Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
  • C. Petrillo
    Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Bisacquino chosen
    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 (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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06aba8f04819080b291baf79c42d5 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66386d48881908151bdf12a3d85ad completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:53 p.m.