Triple

T3875112
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Lurín E92481 entity
Predicate cathedralCity P9022 FINISHED
Object Lurín E394642 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: Lurín | Statement: [Diocese of Lurín, cathedralCity, Lurín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurín
Context triple: [Diocese of Lurín, cathedralCity, 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. 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.
  • D. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • E. Chorrillos District
    Chorrillos District is a coastal district of Lima, Peru, known for its beaches, fishing traditions, and role as a popular seaside and residential area of the capital.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c87214881908e03f5c770c58713 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.