Triple

T5847276
Position Surface form Disambiguated ID Type / Status
Subject Misti E129742 entity
Predicate locatedInDistrict P40 FINISHED
Object Miraflores District E390669 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: Miraflores District | Statement: [Misti, locatedInDistrict, Miraflores District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miraflores District
Context triple: [Misti, locatedInDistrict, Miraflores District]
  • A. Miraflores district chosen
    Miraflores district is an upscale coastal neighborhood in Lima, Peru, known for its parks, shopping, nightlife, and pre-Columbian archaeological sites.
  • B. 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.
  • C. Pueblo Libre District
    Pueblo Libre District is a historic and residential district of Lima, Peru, known for its colonial heritage, museums, and traditional Peruvian culture.
  • D. Rímac District
    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.
  • E. Carabayllo District
    Carabayllo District is one of the districts of the Lima metropolitan area in Peru, known for being one of the oldest and geographically largest districts in the region.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.