Triple

T11199424
Position Surface form Disambiguated ID Type / Status
Subject Crotone E264999 entity
Predicate regionCapital P16248 FINISHED
Object Catanzaro E309049 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: Catanzaro | Statement: [Crotone, regionCapital, Catanzaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catanzaro
Context triple: [Crotone, regionCapital, Catanzaro]
  • A. Catanzaro chosen
    Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian 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. Castrovillari
    Castrovillari is a town in the Calabria region of southern Italy, known as a cultural and commercial center near the Pollino National Park.
  • D. 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.
  • E. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad00f9148190842bf587a2e4cbdf completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.