Triple

T12488729
Position Surface form Disambiguated ID Type / Status
Subject Pasochoa E298505 entity
Predicate locatedIn P40 FINISHED
Object Pichincha Province E47502 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: Pichincha Province | Statement: [Pasochoa, locatedIn, Pichincha Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pichincha Province
Context triple: [Pasochoa, locatedIn, Pichincha Province]
  • A. Pichincha Province chosen
    Pichincha Province is an Andean region in north-central Ecuador known for its capital city Quito and the active stratovolcano Pichincha.
  • B. Cotopaxi Province
    Cotopaxi Province is an inland province of central Ecuador known for encompassing the active Cotopaxi volcano and parts of the Andean highlands.
  • C. Imbabura Province
    Imbabura Province is a region in northern Ecuador known for its Andean highlands, indigenous Kichwa communities, and scenic lakes and volcanoes.
  • D. Chimborazo Province
    Chimborazo Province is an administrative region in central Ecuador known for encompassing Mount Chimborazo, the country’s highest peak and a prominent Andean landmark.
  • E. 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.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de1db9481909ddf70eb81cdb714 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:56 p.m.