Triple

T15319566
Position Surface form Disambiguated ID Type / Status
Subject Bovisio-Masciago E366251 entity
Predicate adjacentTo P224 FINISHED
Object Varedo E366252 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: Varedo | Statement: [Bovisio-Masciago, adjacentTo, Varedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varedo
Context triple: [Bovisio-Masciago, adjacentTo, Varedo]
  • A. Varedo chosen
    Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
  • B. Verduno
    Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
  • C. Giussano
    Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
  • D. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • E. Valmadrera
    Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.