Triple

T9383830
Position Surface form Disambiguated ID Type / Status
Subject Cosenza E225854 entity
Predicate hasOldTown P295 FINISHED
Object Cosenza Vecchia E328742 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: Cosenza Vecchia | Statement: [Cosenza, hasOldTown, Cosenza Vecchia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosenza Vecchia
Context triple: [Cosenza, hasOldTown, Cosenza Vecchia]
  • A. Gioia del Colle
    Gioia del Colle is a historic town in the Apulia region of southern Italy, known for its medieval castle, wine production, and strategic location between Bari and Taranto.
  • B. Cerignola
    Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
  • C. Cataldo
    Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
  • D. Sannicandro di Bari
    Sannicandro di Bari is a small town and comune in the Apulia region of southern Italy, known for its historic castle and olive oil production.
  • E. Cosenza chosen
    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.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50c23e7881908112597a1771afa5 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1101e83e8819093fe8d25c819820b completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:44 p.m.