Triple

T7005178
Position Surface form Disambiguated ID Type / Status
Subject Coruripe E162434 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object State of Alagoas E26260 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: State of Alagoas | Statement: [Coruripe, locatedInCountrySubdivision, State of Alagoas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Alagoas
Context triple: [Coruripe, locatedInCountrySubdivision, State of Alagoas]
  • A. Alagoas chosen
    Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
  • B. State of Maranhão
    The State of Maranhão was a colonial administrative division of the Portuguese Empire in South America, encompassing parts of what is now northern Brazil.
  • C. Sergipe
    Sergipe is a small coastal state in northeastern Brazil known for its Atlantic shoreline, colonial history, and role in the broader Dutch and Portuguese colonial era.
  • D. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • E. Bahia
    Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc14037c81908bb87250ef29be50 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
Created at: March 27, 2026, 2:33 p.m.