Triple

T7258445
Position Surface form Disambiguated ID Type / Status
Subject Laranjeiras E159582 entity
Predicate locatedIn P40 FINISHED
Object 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: Sergipe | Statement: [Laranjeiras, locatedIn, Sergipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergipe
Context triple: [Laranjeiras, locatedIn, Sergipe]
  • A. 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.
  • B. Pernambuco
    Pernambuco is a northeastern Brazilian state known for its historic capital Recife, rich colonial and Afro-Brazilian cultural heritage, and significant role in Brazil’s sugarcane economy.
  • C. 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.
  • D. Alagoas
    Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
  • E. Ceará
    Ceará is a state in northeastern Brazil known for its long Atlantic coastline, semi-arid interior, and vibrant cultural traditions centered around its capital, Fortaleza.
  • 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_69cffd37b54881908c67d5746f9ef39e completed April 3, 2026, 5:47 p.m.
Created at: March 27, 2026, 2:57 p.m.