Triple

T9129631
Position Surface form Disambiguated ID Type / Status
Subject Peruvian Chorrillos Military School E219050 entity
Predicate namedAfter P63 FINISHED
Object Chorrillos E304859 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: Chorrillos | Statement: [Peruvian Chorrillos Military School, namedAfter, Chorrillos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chorrillos
Context triple: [Peruvian Chorrillos Military School, namedAfter, Chorrillos]
  • A. Chorrillos
    Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
  • B. Chorrillos District chosen
    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. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • D. Cercado de Lima
    Cercado de Lima is the historic central district of Lima, Peru, encompassing the city’s colonial core, main government buildings, and numerous cultural landmarks.
  • E. Carabayllo
    Carabayllo is a district in the northern part of Lima, Peru, known as one of the city's oldest and largest administrative areas.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.