Triple

T8751743
Position Surface form Disambiguated ID Type / Status
Subject Pecorino Toscano E207974 entity
Predicate similarTo P4460 FINISHED
Object Pecorino Romano E401311 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: Pecorino Romano | Statement: [Pecorino Toscano, similarTo, Pecorino Romano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pecorino Romano
Context triple: [Pecorino Toscano, similarTo, Pecorino Romano]
  • A. Pecorino Romano chosen
    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.
  • B. 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.
  • C. Parmigiano Reggiano
    Parmigiano Reggiano is a hard, aged Italian cheese from specific regions of Italy, renowned worldwide for its rich, nutty flavor and granular texture.
  • D. 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.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518d48b481909e2abf5d60bf7c78 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:39 p.m.