Triple

T15091856
Position Surface form Disambiguated ID Type / Status
Subject Los Frailes Beach E360437 entity
Predicate locatedInProvince P40 FINISHED
Object Manabí Province E65578 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: Manabí Province | Statement: [Los Frailes Beach, locatedInProvince, Manabí Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manabí Province
Context triple: [Los Frailes Beach, locatedInProvince, Manabí Province]
  • A. Manabí Province chosen
    Manabí Province is a coastal province in western Ecuador known for its Pacific beaches, fishing industry, and agricultural production.
  • B. Guayas Province
    Guayas Province is a coastal region in western Ecuador that includes the country’s largest city and main port, Guayaquil, and serves as a key economic and commercial hub.
  • C. La Vega Province
    La Vega Province is a central Dominican Republic province known for its fertile valleys, agricultural production, and the vibrant Carnival of La Vega.
  • D. Los Santos Province
    Los Santos Province is a largely rural region in southern Panama known for its agricultural production, folkloric traditions, and Pacific coastline.
  • E. Velasco Province
    Velasco Province is an administrative province in eastern Bolivia, located within the Santa Cruz Department and known for its vast lowland landscapes and rural communities.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.