Triple

T10568917
Position Surface form Disambiguated ID Type / Status
Subject Princess Clémentine of Belgium E249426 entity
Predicate marriagePlace P128 FINISHED
Object Moncalieri E369650 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: Moncalieri | Statement: [Princess Clémentine of Belgium, marriagePlace, Moncalieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moncalieri
Context triple: [Princess Clémentine of Belgium, marriagePlace, Moncalieri]
  • A. Moncalieri chosen
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • B. Imperia
    Imperia is a coastal city in northwestern Italy’s Liguria region, known for its olive oil production, historic port, and seaside tourism.
  • C. Villafranca Piemonte
    Villafranca Piemonte is a municipality in the Piedmont region of northwestern Italy, historically associated with the House of Savoy.
  • D. Pinerolo
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • E. Rivarolo Canavese
    Rivarolo Canavese is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and location in the Canavese area near Turin.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98838c9b88190b12d8873695e219e completed April 10, 2026, 11:31 p.m.
Created at: April 6, 2026, 12:37 p.m.