Triple

T25671317
Position Surface form Disambiguated ID Type / Status
Subject French Embassy in Brasília E643680 entity
Predicate locatedInCityAssociatedWith P24465 FINISHED
Object Oscar Niemeyer 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: Oscar Niemeyer | Statement: [French Embassy in Brasília, locatedInCityAssociatedWith, Oscar Niemeyer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCityAssociatedWith
Context triple: [French Embassy in Brasília, locatedInCityAssociatedWith, Oscar Niemeyer]
  • A. locatedInCityWithSignificance
    Indicates that an entity is located in a city that holds particular importance or notable significance (e.g., historical, cultural, political, or economic).
  • B. cityAssociatedWith chosen
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • C. locationGaveRiseTo
    Indicates that a particular location is the origin or source from which something (such as an event, movement, phenomenon, or entity) emerged or developed.
  • D. locatedInCityFoundedFor
    Indicates that something is located in a city that was specifically founded for that thing or for its primary purpose.
  • E. basedInCity
    Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
  • F. None of above.

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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7a225a77c81908f8953ccfeb14336 completed May 3, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
Created at: April 21, 2026, 7:28 p.m.