Triple

T18463761
Position Surface form Disambiguated ID Type / Status
Subject Magreglio cemetery E451104 entity
Predicate locatedIn P40 FINISHED
Object Magreglio 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: Magreglio | Statement: [Magreglio cemetery, locatedIn, Magreglio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magreglio
Context triple: [Magreglio cemetery, locatedIn, Magreglio]
  • A. Magreglio chosen
    Magreglio is a small municipality in the Province of Como in Italy’s Lombardy region, known for its scenic location near Lake Como and the famous Madonna del Ghisallo cycling sanctuary.
  • B. Mazuelo
    Mazuelo is a red wine grape variety, better known internationally as Carignan, used primarily in blends for its high acidity, color, and tannins.
  • C. Mattioli
    Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
  • D. Mazzoli
    Mazzoli is an Italian surname associated with various notable individuals, including politicians and artists.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8190508190a74b1d3482364905 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.