Triple

T16505193
Position Surface form Disambiguated ID Type / Status
Subject Nuorese Sardinian E400908 entity
Predicate region P40 FINISHED
Object Nuoro E89858 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: Nuoro | Statement: [Nuorese Sardinian, region, Nuoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuoro
Context triple: [Nuorese Sardinian, region, Nuoro]
  • A. Nuoro chosen
    Nuoro is a city and province in central-eastern Sardinia, Italy, known for its rugged landscapes, traditional Sardinian culture, and literary heritage.
  • B. Stintino
    Stintino is a coastal village and popular tourist resort in northern Sardinia, Italy, renowned for its white-sand beaches and clear turquoise waters.
  • C. Portorosso
    Portorosso is a picturesque fictional seaside town on the Italian Riviera that serves as the main setting of Pixar’s animated film "Luca."
  • D. Noale
    Noale is a historic town in northeastern Italy known for its medieval architecture and traditional festivals, situated in the Veneto region.
  • E. Montegallo
    Montegallo is a small mountainous municipality in Italy’s Marche region, known for its scenic Apennine landscapes and traditional rural character.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e51ce1c81909548298f703a7ffa completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.