Triple

T13071559
Position Surface form Disambiguated ID Type / Status
Subject El Carmen E329467 entity
Predicate locatedIn P40 FINISHED
Object El Carmen Canton E336040 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: El Carmen Canton | Statement: [El Carmen, locatedIn, El Carmen Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Carmen Canton
Context triple: [El Carmen, locatedIn, El Carmen Canton]
  • A. El Carmen Canton chosen
    El Carmen Canton is an administrative subdivision in northwestern Ecuador known for its agricultural production and location within Manabí Province.
  • B. Pedernales Canton
    Pedernales Canton is an administrative division in coastal Ecuador known for its beaches, fishing activities, and location within Manabí Province.
  • C. Salcedo Canton
    Salcedo Canton is an administrative subdivision in central Ecuador known for its agricultural production and traditional Andean culture.
  • D. Ibarra Canton
    Ibarra Canton is an administrative subdivision in northern Ecuador centered on the city of Ibarra, known for its Andean setting and colonial heritage.
  • E. Salinas Canton
    Salinas Canton is a coastal administrative division in western Ecuador known for its popular beach resort city of Salinas and tourism-driven economy.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead460908190a566f5416e456aeb completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9 p.m.