Triple

T4701266
Position Surface form Disambiguated ID Type / Status
Subject Cieneguilla E104276 entity
Predicate borderedBy P224 FINISHED
Object Ate District E288108 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: Ate District | Statement: [Cieneguilla, borderedBy, Ate District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ate District
Context triple: [Cieneguilla, borderedBy, Ate District]
  • A. Ate District chosen
    Ate District is a populous urban district in eastern Lima, Peru, known for its mix of industrial zones, residential areas, and major transportation routes connecting the capital with the central highlands.
  • B. Pinogana District
    Pinogana District is an administrative district located within Panama’s remote and biodiverse Darién Province, known for its dense rainforests and sparse population.
  • C. Nangang District
    Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
  • D. Lazo District
    Lazo District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its largely rural territory and natural landscapes.
  • E. Banan District
    Banan District is an administrative district of Chongqing, China, known for its mix of urban development, industrial zones, and scenic areas along the Yangtze River.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ca24848190aa7df32472647cae completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.