Triple

T18757003
Position Surface form Disambiguated ID Type / Status
Subject Cercado de Lima district E458675 entity
Predicate borders P224 FINISHED
Object Rímac 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: Rímac district | Statement: [Cercado de Lima district, borders, Rímac district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rímac district
Context triple: [Cercado de Lima district, borders, Rímac district]
  • A. Rímac District chosen
    Rímac District is a historic urban district of Lima, Peru, known for its colonial architecture, cultural landmarks, and location across the Rímac River from central Lima.
  • B. San Isidro District
    San Isidro District is an upscale, modern financial and residential district in Lima, Peru, known for its business centers, parks, and embassies.
  • C. Barranco District
    Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
  • D. Surco District
    Surco District is a residential and commercial district in Lima, Peru, known for its shopping centers, universities, and relatively affluent neighborhoods.
  • E. San Martín de Porres District
    San Martín de Porres District is a populous urban district in northern Lima, Peru, known for its residential neighborhoods, commercial activity, and role as part of the Lima metropolitan area.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f359e48190a64b7360dd3bed3a completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:52 a.m.