Triple

T12837357
Position Surface form Disambiguated ID Type / Status
Subject San Juan de Lurigancho District E306952 entity
Predicate borders P224 FINISHED
Object Comas District E288106 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: Comas District | Statement: [San Juan de Lurigancho District, borders, Comas District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comas District
Context triple: [San Juan de Lurigancho District, borders, Comas District]
  • A. Comas District chosen
    Comas District is a populous urban district in northern Lima, Peru, known for its residential neighborhoods and commercial activity within the Lima metropolitan area.
  • B. Oropesa District
    Oropesa District is an administrative district in Peru’s Cusco Region, known for its traditional bread-making and Andean cultural heritage.
  • C. Grau Province
    Grau Province is an administrative province in southern Peru, located within the Apurímac Region and characterized by its Andean geography and rural communities.
  • D. Arraiján District
    Arraiján District is a rapidly growing suburban district near Panama City, known for its residential developments and role as a key commuter area within Panamá Province.
  • E. Duki District
    Duki District is an administrative district in Pakistan’s Balochistan province, situated within its predominantly Pashtun-inhabited region.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff015f4819090070a01f3938acc completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.