Triple

T10004768
Position Surface form Disambiguated ID Type / Status
Subject Youth & Young Manhood E198213 entity
Predicate hasPart P35 FINISHED
Object Trani E359641 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: Trani | Statement: [Youth & Young Manhood, hasPart, Trani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trani
Context triple: [Youth & Young Manhood, hasPart, Trani]
  • A. Trani chosen
    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.
  • B. Cosenza
    Cosenza is a historic city in southern Italy known for its medieval old town, cultural heritage, and role as an important provincial and university center.
  • C. Corato
    Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
  • D. Barletta
    Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
  • E. 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.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f0c0c588190870b2145be187908 completed April 10, 2026, 6:56 a.m.
Created at: March 30, 2026, 8:51 p.m.