Triple

T7258456
Position Surface form Disambiguated ID Type / Status
Subject Laranjeiras E159582 entity
Predicate partOf P40 FINISHED
Object state of Sergipe E25986 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 Sergipe | Statement: [Laranjeiras, partOf, state of Sergipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Sergipe
Context triple: [Laranjeiras, partOf, state of Sergipe]
  • A. 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.
  • B. state government of Sergipe
    The state government of Sergipe is the executive authority of the Brazilian state of Sergipe, responsible for administering public policies, services, and regional governance under Brazil’s federal system.
  • C. Sergipe chosen
    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. Alagoas
    Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
  • E. Piauí
    Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac340a0819084015a5fbf7a5539 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b1532808190a0b85fa98ef24cfa completed March 29, 2026, 12:29 p.m.
Created at: March 27, 2026, 2:57 p.m.