Triple

T14950387
Position Surface form Disambiguated ID Type / Status
Subject Mondovì campus E372776 entity
Predicate locatedIn P40 FINISHED
Object Mondovì E680563 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: Mondovì | Statement: [Mondovì campus, locatedIn, Mondovì]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mondovì
Context triple: [Mondovì campus, locatedIn, Mondovì]
  • A. Mondovì chosen
    Mondovì is a historic town in Italy’s Piedmont region, known for its medieval center, panoramic hilltop views, and rich architectural heritage.
  • B. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • C. Fossano
    Fossano is a historic town in the Piedmont region of northwestern Italy, known for its medieval architecture and strategic location between Cuneo and Turin.
  • D. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • E. Domodossola
    Domodossola is a town in northern Italy’s Piedmont region, historically situated in the territory once inhabited by the ancient Lepontii people.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68fae3c81909873b113bfcaca05 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:39 a.m.