Triple

T4770237
Position Surface form Disambiguated ID Type / Status
Subject Costa Verde recreational area E105908 entity
Predicate adjacentTo P224 FINISHED
Object San Miguel district E304179 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: San Miguel district | Statement: [Costa Verde recreational area, adjacentTo, San Miguel district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Miguel district
Context triple: [Costa Verde recreational area, adjacentTo, San Miguel district]
  • A. San Miguel District chosen
    San Miguel District is a coastal urban district of Lima, Peru, known for its residential areas, shopping centers, and views of the Pacific Ocean.
  • 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. San Miguelito District
    San Miguelito District is a densely populated urban district in central Panama that forms part of the metropolitan area of Panama City.
  • D. Barranco District
    Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
  • 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 (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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655c9a2c8190adce3e2a8a1fa0a7 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c971a688190b0023727acdbd9f7 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:21 p.m.