Triple

T15240767
Position Surface form Disambiguated ID Type / Status
Subject Lucca E364247 entity
Predicate demonym P191 FINISHED
Object Lucchese E431990 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: Lucchese | Statement: [Lucca, demonym, Lucchese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucchese
Context triple: [Lucca, demonym, Lucchese]
  • A. Lucchese chosen
    Lucchese is the Italian term for a person or thing originating from the city of Lucca in Tuscany.
  • B. Galluzzo
    Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
  • C. Balducci
    Balducci is a member of the group or organization known as The Network.
  • D. Falcone
    Falcone is an Italian surname most famously associated with anti-Mafia judge Giovanni Falcone, a key figure in the fight against organized crime in Italy.
  • E. Lucchese crime family
    The Lucchese crime family is one of New York City's long-standing "Five Families," a powerful Italian-American Mafia organization involved in organized crime activities such as racketeering, extortion, and labor racketeering.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd41b7c48190917385c6c61370b2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.