Triple

T7552129
Position Surface form Disambiguated ID Type / Status
Subject Copán Department E178562 entity
Predicate hasSettlement P1068 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: [Copán Department, hasSettlement, Santa Rosa de Copán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa de Copán
Context triple: [Copán Department, hasSettlement, 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. Chichigalpa
    Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
  • E. Copala
    Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b6c6488190b8fd94aca6ea8486 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856be6e1c8190ba292d4d9cf1f37f completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:49 p.m.