Triple

T16052690
Position Surface form Disambiguated ID Type / Status
Subject Cortellazzo E389393 entity
Predicate hasNameForm P19207 FINISHED
Object Cortellazzo E389393 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: Cortellazzo | Statement: [Cortellazzo, hasNameForm, Cortellazzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortellazzo
Context triple: [Cortellazzo, hasNameForm, Cortellazzo]
  • A. Cortellazzo chosen
    Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
  • B. Lizzano
    Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
  • C. Roccuzzo
    Roccuzzo is an Italian-origin surname best known through Antonela Roccuzzo, an Argentine model and businesswoman married to footballer Lionel Messi.
  • D. Cavezzo
    Cavezzo is a small municipality in the Emilia-Romagna region of northern Italy, known for its agricultural landscape and location in the Po Valley.
  • E. Salzano
    Salzano is a small Italian town in the Veneto region, historically part of the Province of Venice.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1836365688190b182f29bbb66127e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8b1b2c8190949943b20f2f8574 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.