Triple

T22242191
Position Surface form Disambiguated ID Type / Status
Subject Alto Selva Alegre District E549749 entity
Predicate borders P224 FINISHED
Object Cayma District NE NERFINISHED

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: Cayma District | Statement: [Alto Selva Alegre District, borders, Cayma District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cayma District
Context triple: [Alto Selva Alegre District, borders, Cayma District]
  • A. Cayma District chosen
    Cayma District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano and forming part of the greater Arequipa metropolitan area.
  • B. Gurbuz District
    Gurbuz District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
  • C. Baykan District
    Baykan District is an administrative district in southeastern Turkey known for its predominantly Kurdish population and location within Siirt Province.
  • D. Sulusaray District
    Sulusaray District is an administrative district in north-central Turkey known for its rural character and proximity to the ancient ruins of Sebastopolis.
  • E. Kagizman District
    Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132150a3c81908eba0683819e26d0 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.