Triple

T12804864
Position Surface form Disambiguated ID Type / Status
Subject Berici Hills E306117 entity
Predicate nearbyCity P350 FINISHED
Object Lonigo E801544 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: Lonigo | Statement: [Berici Hills, nearbyCity, Lonigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lonigo
Context triple: [Berici Hills, nearbyCity, Lonigo]
  • A. Lonigo chosen
    Lonigo is a town and municipality in the Veneto region of northern Italy, known for its historic architecture and surrounding wine-producing countryside.
  • B. Codogno
    Codogno is a town in northern Italy’s Lombardy region, known internationally as one of the first major COVID-19 outbreak hotspots in Europe in early 2020.
  • C. Monzino
    Monzino is an Italian surname most notably associated with entrepreneur and mountaineer Guido Monzino, known for his explorations and cultural patronage.
  • D. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • E. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb735e481909f120f95fa68f4f1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:30 p.m.