Triple

T5859360
Position Surface form Disambiguated ID Type / Status
Subject Victor Amadeus I, Duke of Savoy E130236 entity
Predicate deathPlace P21 FINISHED
Object Vercelli E243615 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: Vercelli | Statement: [Victor Amadeus I, Duke of Savoy, deathPlace, Vercelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vercelli
Context triple: [Victor Amadeus I, Duke of Savoy, deathPlace, Vercelli]
  • A. Vercelli chosen
    Vercelli is a historic city in northern Italy’s Piedmont region, known for its medieval architecture and important role in rice cultivation.
  • B. Bobbio
    Bobbio is an Italian surname most notably borne by the influential 20th-century legal philosopher and political theorist Norberto Bobbio.
  • C. Pavia
    Pavia is a municipality in the Philippine province of Iloilo known for its suburban character and proximity to Iloilo City.
  • D. Pavia
    Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
  • E. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0358790b88190a5e3c6473172dc53 completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e36fa8ac8190add9a5eb3ada4d0f completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:56 p.m.