Triple

T16256529
Position Surface form Disambiguated ID Type / Status
Subject Lurín E394642 entity
Predicate partOf P40 FINISHED
Object Cono Sur of Lima E429592 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: Cono Sur of Lima | Statement: [Lurín, partOf, Cono Sur of Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cono Sur of Lima
Context triple: [Lurín, partOf, Cono Sur of Lima]
  • A. Cono Sur of Lima chosen
    Cono Sur of Lima is a southern sector of Peru’s capital city that encompasses several coastal and inland districts, including Chorrillos, and is known for its mix of urban neighborhoods and growing residential areas.
  • B. Cono Oeste of Lima
    Cono Oeste of Lima is a western metropolitan sector of Peru’s capital that groups several coastal and urban districts, including San Miguel, for planning and administrative purposes.
  • C. Cono Norte of Lima
    Cono Norte of Lima is a major urban and residential sector in the northern part of Peru’s capital, encompassing several populous districts and serving as an important commercial and industrial hub.
  • D. La Lima
    La Lima is a Honduran city in the Cortés Department known for its banana industry and proximity to San Pedro Sula.
  • E. Carabayllo, Peru
    Carabayllo is a populous district in the northern part of Lima, Peru, known for its rapidly growing urban neighborhoods and mix of residential and industrial areas.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.