Triple

T22657646
Position Surface form Disambiguated ID Type / Status
Subject Nariva Swamp E559270 entity
Predicate locatedNear P294 FINISHED
Object Manzanilla NE NERFINISHED

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: Manzanilla | Statement: [Nariva Swamp, locatedNear, Manzanilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanilla
Context triple: [Nariva Swamp, locatedNear, Manzanilla]
  • A. Manzanilla chosen
    Manzanilla is a coastal village and beach area on the east coast of Trinidad, known for its long coconut-lined shoreline and proximity to Sangre Grande.
  • B. Manzanilla
    Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
  • C. Madroñera
    Madroñera is a municipality in the province of Cáceres in the Extremadura region of western Spain, known for its rural character and proximity to the historic town of Trujillo.
  • D. Figueira Seca
    Figueira Seca is a small village located on the island of Maio in Cape Verde.
  • E. La Manzanilla
    La Manzanilla is a small coastal village in Jalisco, Mexico, known for its tranquil beaches, laid-back atmosphere, and nearby mangrove estuary with crocodiles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.