Triple

T23355626
Position Surface form Disambiguated ID Type / Status
Subject West Zone of Recife E593038 entity
Predicate containsNeighborhood P4813 FINISHED
Object Jiquiá 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: Jiquiá | Statement: [West Zone of Recife, containsNeighborhood, Jiquiá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiquiá
Context triple: [West Zone of Recife, containsNeighborhood, Jiquiá]
  • A. Jiquiá chosen
    Jiquiá is a neighborhood in the city of Recife, Brazil, known for its residential character and urban infrastructure.
  • B. Chilecito
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • C. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • D. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • E. Cotoque
    Cotoque is an alternate name for the Chicomuceltec language, an extinct Mayan language once spoken in parts of present-day Mexico and Guatemala.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a176b548190bf5a08bb2585344d completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:26 p.m.