Triple

T16576021
Position Surface form Disambiguated ID Type / Status
Subject Western Honduras E402710 entity
Predicate hasCity P316 FINISHED
Object Santa Rosa de Copán E671711 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: Santa Rosa de Copán | Statement: [Western Honduras, hasCity, Santa Rosa de Copán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa de Copán
Context triple: [Western Honduras, hasCity, Santa Rosa de Copán]
  • A. Santa Rosa de Copán chosen
    Santa Rosa de Copán is a historic highland city in western Honduras known for its colonial architecture, coffee production, and role as an administrative and commercial center.
  • B. Santa Tecla
    Santa Tecla is a city in El Salvador known as a suburban and commercial hub of the San Salvador metropolitan area, situated on the slopes of the San Salvador Volcano.
  • C. Choloma
    Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
  • D. Coatepeque
    Coatepeque is a town in southwestern Guatemala known as a regional commercial and transportation hub near the Mexican border.
  • E. Santa Cruz del Quiché
    Santa Cruz del Quiché is a highland city in Guatemala known as a cultural and commercial center of the indigenous Kʼicheʼ Maya region.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595cb65481909be62a52deff3d44 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006eecbb6c81908abc5659333a4879 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.