Triple

T5697635
Position Surface form Disambiguated ID Type / Status
Subject Cotopaxi E125576 entity
Predicate nearbyCity P350 FINISHED
Object Latacunga E248777 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: Latacunga | Statement: [Cotopaxi, nearbyCity, Latacunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latacunga
Context triple: [Cotopaxi, nearbyCity, Latacunga]
  • A. Latacunga chosen
    Latacunga is a highland city in central Ecuador, known as the capital of Cotopaxi Province and a gateway to the Cotopaxi volcano.
  • B. Fusagasugá
    Fusagasugá is a Colombian city in the department of Cundinamarca, known for its mild climate, flower cultivation, and role as an important commercial and agricultural center near Bogotá.
  • C. Cayambe
    Cayambe is a massive, glaciated stratovolcano in Ecuador’s Andes, notable for being the highest point on the Earth’s equator.
  • D. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • E. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240d6c0c8190bf970c7652fd9573 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5996a08190860cb5fab57c31b5 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.