Triple

T19961787
Position Surface form Disambiguated ID Type / Status
Subject Cemetery of Segrate (project) E479831 entity
Predicate location P40 FINISHED
Object Segrate 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: Segrate | Statement: [Cemetery of Segrate (project), location, Segrate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segrate
Context triple: [Cemetery of Segrate (project), location, Segrate]
  • A. Segrate chosen
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • B. Seregno
    Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
  • C. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • D. Buccinasco
    Buccinasco is a suburban municipality in northern Italy located just southwest of Milan, known for its residential character and proximity to the Lombard capital.
  • E. Merate
    Merate is a town in the Lombardy region of northern Italy, known for its historic center and the Merate Astronomical Observatory.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af51b4c81909ba156a489cbc551 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.