Triple

T6658275
Position Surface form Disambiguated ID Type / Status
Subject Carlo Maria Giulini E151404 entity
Predicate placeOfBirth P1 FINISHED
Object Barletta E485063 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: Barletta | Statement: [Carlo Maria Giulini, placeOfBirth, Barletta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barletta
Context triple: [Carlo Maria Giulini, placeOfBirth, Barletta]
  • A. Barletta chosen
    Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
  • B. Taranto
    Taranto is a historic coastal city in southern Italy known as a major naval and commercial hub and for its strategic position on the Gulf of Taranto.
  • C. Trani
    Trani is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and picturesque harbor on the Adriatic Sea.
  • D. Lecce
    Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
  • E. Brindisi
    Brindisi is a historic port city in southern Italy’s Apulia region, long serving as a key maritime gateway between Italy and the eastern Mediterranean.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0706514819087270d1c68866e2c completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007347cc8190a15b4218bb3b7074 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 2:01 p.m.