Triple

T17582379
Position Surface form Disambiguated ID Type / Status
Subject Lurigancho-Chosica District E428235 entity
Predicate borders P224 FINISHED
Object Ate District 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: Ate District | Statement: [Lurigancho-Chosica District, borders, Ate District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ate District
Context triple: [Lurigancho-Chosica District, borders, 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. Pakyong district
    Pakyong district is an administrative district in the Indian state of Sikkim, known for housing the Pakyong Airport and its hilly, rural landscape.
  • C. Kaliro District
    Kaliro District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • D. Nakapiripirit District
    Nakapiripirit District is an administrative district in northeastern Uganda, known for its predominantly Karamojong population and semi-arid, pastoralist landscape.
  • E. Longmatan District
    Longmatan District is an urban administrative district and the central area of Luzhou City in Sichuan Province, China.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.