Triple

T21417954
Position Surface form Disambiguated ID Type / Status
Subject Lawra E528355 entity
Predicate capitalOf P204 FINISHED
Object Lawra 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: Lawra District | Statement: [Lawra, capitalOf, Lawra District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawra District
Context triple: [Lawra, capitalOf, Lawra District]
  • A. Lawra District chosen
    Lawra District is an administrative district in Ghana’s Upper West Region, centered around the town of Lawra and known for its predominantly rural communities and agricultural economy.
  • B. Guarda District
    Guarda District is an inland administrative region in northeastern Portugal known for its mountainous landscapes, historic fortified towns, and proximity to the Douro wine region.
  • C. Boane District
    Boane District is an administrative district in southern Mozambique, located within Maputo Province and known for its agricultural activities and proximity to the capital city, Maputo.
  • D. Kwekwe District
    Kwekwe District is an administrative district in Zimbabwe’s Midlands Province, encompassing the city of Kwekwe and surrounding rural areas.
  • E. Hlybokaye District
    Hlybokaye District is an administrative district in the Vitebsk Region of northern Belarus, known for its lakes, forests, and historical towns.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:46 p.m.