Triple

T22679930
Position Surface form Disambiguated ID Type / Status
Subject Manzanilla Beach E560450 entity
Predicate locatedIn P40 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: [Manzanilla Beach, locatedIn, Manzanilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanilla
Context triple: [Manzanilla Beach, locatedIn, Manzanilla]
  • A. Manzanilla
    Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
  • B. 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.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785f68b4819082c5570f741f5135 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.