Triple

T20641057
Position Surface form Disambiguated ID Type / Status
Subject Arese E507223 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Bollate 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: Bollate | Statement: [Arese, nearbyMunicipality, Bollate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bollate
Context triple: [Arese, nearbyMunicipality, Bollate]
  • A. Bollate chosen
    Bollate is a municipality in the Lombardy region of northern Italy, situated in the metropolitan area near the city of Milan.
  • B. Legnano
    Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
  • C. Vergiate
    Vergiate is a town in the Lombardy region of northern Italy known for its significant aerospace and helicopter manufacturing facilities.
  • D. Galbiate
    Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
  • E. Cassano d’Adda
    Cassano d’Adda is a town in the Lombardy region of northern Italy, situated along the Adda River northeast of Milan.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.