Triple

T5975742
Position Surface form Disambiguated ID Type / Status
Subject Parque da Jaqueira E132982 entity
Predicate locatedIn P40 FINISHED
Object Jaqueira E132982 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: Jaqueira | Statement: [Parque da Jaqueira, locatedIn, Jaqueira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaqueira
Context triple: [Parque da Jaqueira, locatedIn, Jaqueira]
  • A. Jaqueira chosen
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • B. Hortência
    Hortência is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
  • C. Eugenia
    Eugenia is a feminine given name of Greek origin, commonly used in various European and Latin American cultures.
  • D. Ceiba
    Ceiba is a genus of large tropical trees, including the iconic kapok tree, known for their towering trunks, buttress roots, and ecological and cultural importance in tropical America and West Africa.
  • E. Juazeiro
    Juazeiro is a city in the state of Bahia, Brazil, located on the São Francisco River and known for its agricultural production and close integration with the neighboring city of Petrolina.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3b41248190b259409f8ebb9e09 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e4184a708190a9e4fe8453463a4b completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.