Triple

T10294392
Position Surface form Disambiguated ID Type / Status
Subject Portoviejo E241445 entity
Predicate capitalOf P204 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: [Portoviejo, capitalOf, Manabí Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manabí Province
Context triple: [Portoviejo, capitalOf, 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. Los Santos Province
    Los Santos Province is a largely rural region in southern Panama known for its agricultural production, folkloric traditions, and Pacific coastline.
  • D. 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.
  • E. Chiriquí Province
    Chiriquí Province is a western Panamanian province bordering Costa Rica, known for its agricultural production, mountain landscapes, and the highland town of Boquete.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d5e0f88190be3e23ba2511a1e9 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e40205c8190a4788e1db1f149d2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:42 a.m.