Triple

T16208589
Position Surface form Disambiguated ID Type / Status
Subject Huixquilucan de Degollado E393392 entity
Predicate hasPart P35 FINISHED
Object Interlomas E393393 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: Interlomas | Statement: [Huixquilucan de Degollado, hasPart, Interlomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interlomas
Context triple: [Huixquilucan de Degollado, hasPart, Interlomas]
  • A. Interlomas chosen
    Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
  • B. Las Lomas
    Las Lomas is an affluent residential and commercial district in Mexico City known for its upscale homes, embassies, and exclusive shops.
  • C. Lindavista
    Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
  • D. Lomas de Vista Hermosa
    Lomas de Vista Hermosa is an upscale residential neighborhood in western Mexico City known for its gated communities, modern housing developments, and proximity to major business and commercial areas.
  • E. Los Olivos
    Los Olivos is a predominantly residential and commercial district in northern Lima, Peru, known for its growing middle-class population and active retail and educational hubs.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22710ef2c8190a8d7b9fb1666816c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007916d3481909d475f1661d80e77 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.