Triple

T2274114
Position Surface form Disambiguated ID Type / Status
Subject Guayas Province E50728 entity
Predicate borders P224 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: [Guayas Province, borders, Manabí Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manabí Province
Context triple: [Guayas Province, borders, 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. 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.
  • D. Colón Province
    Colón Province is a coastal administrative region of Panama on the Caribbean Sea, known for its major port city of Colón and its role in the Panama Canal area.
  • E. San Marcos Province
    San Marcos Province is an administrative division in the Cajamarca Region of northern Peru, known for its Andean highlands and rural agricultural 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ea6cc88190982527774223127f completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960554108190a202855ad0d3caaa completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:48 p.m.