Triple

T6997933
Position Surface form Disambiguated ID Type / Status
Subject Parmigiano Reggiano E162263 entity
Predicate oftenCalled P40691 FINISHED
Object Parmigiano E162263 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: Parmigiano | Statement: [Parmigiano Reggiano, oftenCalled, Parmigiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parmigiano
Context triple: [Parmigiano Reggiano, oftenCalled, Parmigiano]
  • A. Parmigiano Reggiano chosen
    Parmigiano Reggiano is a hard, aged Italian cheese from specific regions of Italy, renowned worldwide for its rich, nutty flavor and granular texture.
  • B. Grana Padano
    Grana Padano is a hard, slow-ripened Italian cheese from the Po River Valley, known for its granular texture and savory, nutty flavor.
  • C. Pecorino Romano
    Pecorino Romano is a hard, salty Italian sheep’s milk cheese traditionally produced in the regions of Lazio and Sardinia, widely used for grating over pasta and in Roman cuisine.
  • D. Pecorino Toscano cheese
    Pecorino Toscano cheese is a firm, sheep’s milk cheese from central Italy known for its smooth texture and mildly nutty, buttery flavor.
  • E. Reggiano
    Reggiano is a variety of the Emilian-Romagnol language spoken primarily in and around the city of Reggio Emilia in northern Italy.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775573c84819081f34ab2b14b700a completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:33 p.m.