Triple

T6147201
Position Surface form Disambiguated ID Type / Status
Subject Ilha Joana Bezerra E137107 entity
Predicate near P350 FINISHED
Object Centro do Recife E132975 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: Centro do Recife | Statement: [Ilha Joana Bezerra, near, Centro do Recife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro do Recife
Context triple: [Ilha Joana Bezerra, near, Centro do Recife]
  • A. Recife City Hall
    Recife City Hall is the main municipal government building and administrative center of the city of Recife, Brazil.
  • B. Recife Antigo chosen
    Recife Antigo is the historic downtown district of Recife, Brazil, known for its colonial architecture, cultural attractions, and vibrant nightlife along the waterfront.
  • C. Porto do Recife
    Porto do Recife is the historic seaport of Recife, Brazil, serving as a key hub for maritime trade and tourism in the city’s old town district.
  • D. Paço do Frevo
    Paço do Frevo is a cultural center and museum in Recife dedicated to preserving, promoting, and celebrating frevo, the city’s traditional carnival music and dance.
  • E. Arcos da Lapa
    Arcos da Lapa is a historic 18th-century aqueduct and iconic architectural landmark located in the Lapa neighborhood of Rio de Janeiro, Brazil.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdeeaa88190948d9db6eb2dbf46 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ece259c8190b7258859a35ca4fd completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:16 p.m.