Triple

T19698380
Position Surface form Disambiguated ID Type / Status
Subject Parco del Mincio E473025 entity
Predicate traverses P416 FINISHED
Object Curtatone NE NERFINISHED

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: Curtatone | Statement: [Parco del Mincio, traverses, Curtatone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtatone
Context triple: [Parco del Mincio, traverses, Curtatone]
  • A. Curtatone chosen
    Curtatone is a municipality in the Lombardy region of northern Italy, situated near the city of Mantua.
  • B. Calizzano
    Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
  • C. Borgotaro
    Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
  • D. Contigliano
    Contigliano is a small town and comune in the province of Rieti in the Lazio region of central Italy.
  • E. Zagarolo
    Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.