Triple

T22592248
Position Surface form Disambiguated ID Type / Status
Subject Camporosso E564978 entity
Predicate borderedBy P224 FINISHED
Object Dolceacqua 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: Dolceacqua | Statement: [Camporosso, borderedBy, Dolceacqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolceacqua
Context triple: [Camporosso, borderedBy, Dolceacqua]
  • A. Dolceacqua chosen
    Dolceacqua is a picturesque medieval village in Italy’s Liguria region, renowned for its stone bridge, historic castle, and scenic setting along the Nervia River.
  • B. Pescorocchiano
    Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
  • C. Noviglio
    Noviglio is a small municipality in the Lombardy region of northern Italy, located near Milan and known for hosting the headquarters of the design company Kartell.
  • D. Crissolo
    Crissolo is a small alpine village and ski resort in Italy’s Piedmont region, located high in the upper Po Valley near the source of the Po River.
  • E. Fiuminata
    Fiuminata is a small municipality in the Marche region of central Italy, known for its mountainous landscape and traditional rural character.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16162c2cc8190a506776ac52356d7 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.