Triple

T4731396
Position Surface form Disambiguated ID Type / Status
Subject Barbagia E105015 entity
Predicate majorTown P316 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: [Barbagia, majorTown, Nuoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuoro
Context triple: [Barbagia, majorTown, 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. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • C. Penedono
    Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
  • D. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • E. Procida
    Procida is a small, picturesque island in the Bay of Naples, Italy, known for its colorful fishing villages and authentic, less-touristed atmosphere.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64647c788190b7aa908c42ac11cf completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a9386c81908557fe4feb190e8a completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.