Triple

T16139765
Position Surface form Disambiguated ID Type / Status
Subject Lurín River valley E391621 entity
Predicate contains P35 FINISHED
Object Cieneguilla district E976961 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: Cieneguilla district | Statement: [Lurín River valley, contains, Cieneguilla district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cieneguilla district
Context triple: [Lurín River valley, contains, Cieneguilla district]
  • A. Cieneguilla District chosen
    Cieneguilla District is a semi-rural district in the eastern part of Lima Province, Peru, known for its natural landscapes, country houses, and recreational tourism.
  • B. Zavala District
    Zavala District is an administrative district located within Inhambane Province in southern Mozambique, known for its coastal setting along the Indian Ocean.
  • C. Cabanillas District
    Cabanillas District is an administrative district in southern Peru, located within the high Andean region of the Puno Department.
  • D. Huachis District
    Huachis District is an administrative district located within the Andean Huari Province in the Ancash Region of Peru.
  • E. Curado district
    Curado district is a neighborhood-level administrative area within the city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a07b7908190b4e1ec57f60a9274 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b75988819094baaff8f53f48ce completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.