Triple

T16617759
Position Surface form Disambiguated ID Type / Status
Subject Capresani E403737 entity
Predicate hasDemonymFor P191 FINISHED
Object Caprese Michelangelo E87007 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: Caprese Michelangelo | Statement: [Capresani, hasDemonymFor, Caprese Michelangelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caprese Michelangelo
Context triple: [Capresani, hasDemonymFor, Caprese Michelangelo]
  • A. Caprese chosen
    Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
  • B. Margherita
    Margherita is a coal-mining town in Assam, India, known for its tea gardens and proximity to the Patkai hills near the India–Myanmar border.
  • C. Margherita
    Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
  • D. Carbonara di Nola
    Carbonara di Nola is a small municipality in the Campania region of southern Italy, situated in the province of Naples within the historic Nola area.
  • E. Calacuccia
    Calacuccia is a small mountain village and commune in the Haute-Corse department of Corsica, France, known for its scenic lake and role as a gateway to the island’s central highlands.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae920588190b2a6b03ab1100346 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:17 a.m.