Triple

T396231
Position Surface form Disambiguated ID Type / Status
Subject Guayaquil E8988 entity
Predicate isCapitalOf P204 FINISHED
Object Guayas Province E50728 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: Guayas Province | Statement: [Guayaquil, isCapitalOf, Guayas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guayas Province
Context triple: [Guayaquil, isCapitalOf, Guayas Province]
  • A. Guayas Province chosen
    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.
  • B. Morona-Santiago Province
    Morona-Santiago Province is a largely Amazonian region in southeastern Ecuador known for its indigenous Shuar population, vast rainforest landscapes, and rich biodiversity.
  • C. Artemisa Province
    Artemisa Province is an administrative region in western Cuba created in 2011 as part of a territorial reorganization of the former La Habana Province.
  • D. Pichincha Province
    Pichincha Province is an Andean region in north-central Ecuador known for its capital city Quito and the active stratovolcano Pichincha.
  • E. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec8a941081909a152fda0ce24a98 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41772e19c8190b02a212f13b4d8aa completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.