Triple

T16443628
Position Surface form Disambiguated ID Type / Status
Subject Corsico E399368 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Buccinasco E992019 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: Buccinasco | Statement: [Corsico, hasNeighbouringMunicipality, Buccinasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buccinasco
Context triple: [Corsico, hasNeighbouringMunicipality, Buccinasco]
  • A. Buccinasco chosen
    Buccinasco is a suburban municipality in northern Italy located just southwest of Milan, known for its residential character and proximity to the Lombard capital.
  • B. Bellano
    Bellano is a picturesque town on the eastern shore of Lake Como in northern Italy, known for its lakeside promenade and the dramatic Orrido di Bellano gorge.
  • C. Cologno Monzese
    Cologno Monzese is a suburban town in northern Italy known for hosting major television and media studios near Milan.
  • D. Melegnano
    Melegnano is a town in the Lombardy region of northern Italy, historically notable as the site of major Renaissance-era battles including the Battle of Marignano.
  • E. Gaggiano
    Gaggiano is a small municipality in the Lombardy region of northern Italy, located near Milan and known for its historic canals and rural 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd9d474819091b4a80de1019c54 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.