Triple

T1296593
Position Surface form Disambiguated ID Type / Status
Subject Sardinians E27665 entity
Predicate haveDialect P28371 FINISHED
Object Sassarese E85816 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: Sassarese | Statement: [Sardinians, haveDialect, Sassarese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sassarese
Context triple: [Sardinians, haveDialect, Sassarese]
  • A. Sassarese chosen
    Sassarese is a Romance language variety spoken in and around the city of Sassari in northern Sardinia, influenced by both Sardinian and Corsican-Ligurian linguistic features.
  • B. Terni Arsenal
    Terni Arsenal was a major Italian state-owned arms factory best known for producing military rifles and other small arms for the Kingdom of Italy.
  • C. Sassari
    Sassari is a major city and provincial capital in northern Sardinia, Italy, known for its historic center, university, and cultural traditions.
  • D. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • E. Lazio
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48bec548190b25d4a74b323cc1b completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6209a388190b9f018b63120b28c completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:51 p.m.