Triple

T12302949
Position Surface form Disambiguated ID Type / Status
Subject Perdizes campus E293276 entity
Predicate district P2709 FINISHED
Object Perdizes E293286 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: Perdizes | Statement: [Perdizes campus, district, Perdizes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perdizes
Context triple: [Perdizes campus, district, Perdizes]
  • A. Perdizes chosen
    Perdizes is a central district in São Paulo, Brazil, known for its residential character, cultural venues, and proximity to major sports and educational institutions.
  • B. Vardenis
    Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
  • C. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • D. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • E. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.