Triple

T23501097
Position Surface form Disambiguated ID Type / Status
Subject Maurizio Lupi E571844 entity
Predicate memberOfPoliticalParty P10 FINISHED
Object Popular Area 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: Popular Area | Statement: [Maurizio Lupi, memberOfPoliticalParty, Popular Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Popular Area
Context triple: [Maurizio Lupi, memberOfPoliticalParty, Popular Area]
  • A. Popular Area chosen
    Popular Area is a centrist Italian political party and parliamentary group formed from a coalition of moderate, Christian-democratic forces.
  • B. Central Area
    Central Area is the main commercial and downtown core of Singapore, encompassing its primary business, financial, and civic districts.
  • C. Central Area
    Central Area is a main recreational section of Gunpowder Falls State Park in Maryland, offering outdoor activities such as hiking, fishing, and picnicking.
  • D. CityPlace area
    The CityPlace area is a mixed-use shopping, dining, and entertainment district in downtown West Palm Beach, Florida.
  • E. Nice metropolitan area
    The Nice metropolitan area is the urban and economic region centered on the city of Nice on the French Riviera, encompassing its surrounding communes along the Mediterranean coast.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.