Triple

T18131345
Position Surface form Disambiguated ID Type / Status
Subject Oxapampa E434017 entity
Predicate roadConnectionTo P9041 FINISHED
Object La Merced NE NERFINISHED

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: La Merced | Statement: [Oxapampa, roadConnectionTo, La Merced]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Merced
Context triple: [Oxapampa, roadConnectionTo, La Merced]
  • A. La Merced
    La Merced is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • B. La Merced chosen
    La Merced is a town in central Peru’s Chanchamayo Province, known as a gateway to the country’s high jungle region and for its coffee and fruit production.
  • C. Arroyo Grande
    Arroyo Grande is a small coastal city in California known for its historic village, agricultural surroundings, and proximity to the beaches of the Central Coast.
  • D. Moraga Creek
    Moraga Creek is a small waterway in Contra Costa County, California, that flows through the town of Moraga and contributes to the local watershed and natural landscape.
  • E. Río Los Ángeles
    Río Los Ángeles is a river in the Las Hurdes region of Extremadura, Spain, known for its rugged natural landscapes, swimming spots, and role in shaping the area's traditional rural environment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf1e2508190993f65ca137fdf63 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.