Triple

T19509952
Position Surface form Disambiguated ID Type / Status
Subject Cerignola E488120 entity
Predicate sharesBorderWith P224 FINISHED
Object Barletta 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: Barletta | Statement: [Cerignola, sharesBorderWith, Barletta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barletta
Context triple: [Cerignola, sharesBorderWith, 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. Nardò
    Nardò is a historic town in Italy’s Apulia region, known for its Baroque architecture and location in the province of Lecce in the Salento area.
  • C. 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.
  • D. Corato
    Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
  • E. Molfetta
    Molfetta is a coastal city in the Apulia region of southern Italy, known for its historic old town, fishing port, and Adriatic seaside location.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.