Triple

T6676493
Position Surface form Disambiguated ID Type / Status
Subject Carrara E151864 entity
Predicate demonym P191 FINISHED
Object Carrarese E609625 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: Carrarese | Statement: [Carrara, demonym, Carrarese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrarese
Context triple: [Carrara, demonym, Carrarese]
  • A. Carrarese chosen
    Carrarese is an Italian professional football club based in Carrara, Tuscany, known for competing primarily in the lower tiers of the Italian league system.
  • B. Sassarese
    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.
  • C. Carpi
    Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
  • D. Cantù
    Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
  • E. Carrù
    Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f4184481908869354addf4f8c4 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a57bd88190a423ff7d2139aa51 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.