Triple

T17654807
Position Surface form Disambiguated ID Type / Status
Subject Cono Sur of Lima E429592 entity
Predicate hasPart P35 FINISHED
Object Lurín 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: Lurín | Statement: [Cono Sur of Lima, hasPart, Lurín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurín
Context triple: [Cono Sur of Lima, hasPart, Lurín]
  • A. Lurín chosen
    Lurín is a district in the Lima Province of Peru, known for its archaeological sites, beaches, and growing urban and industrial areas south of central Lima.
  • B. Santiago de Surco
    Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
  • C. Lima District
    Lima District is the historic and administrative center of Peru’s capital city, encompassing the main government institutions, colonial core, and principal civic and commercial areas of Lima.
  • D. Parañaque
    Parañaque is a coastal city in the southern part of Metro Manila in the Philippines, known for its residential communities, commercial centers, and proximity to Ninoy Aquino International Airport.
  • E. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3fc6e8819080098a3cd0183811 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.