Triple

T4532436
Position Surface form Disambiguated ID Type / Status
Subject San Marco Argentano E106327 entity
Predicate nearestMajorCity P1982 FINISHED
Object Cosenza 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 | Statement: [San Marco Argentano, nearestMajorCity, Cosenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosenza
Context triple: [San Marco Argentano, nearestMajorCity, Cosenza]
  • A. 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.
  • B. Catanzaro
    Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian Sea.
  • C. Reggio Calabria
    Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
  • D. 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.
  • E. Potenza
    Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579f27ac8190ae9a4252109e56e1 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdace3a81c8190963ea65fa3df23c0 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:03 p.m.