Triple

T21972589
Position Surface form Disambiguated ID Type / Status
Subject Daykundi E542625 entity
Predicate hasDistrict P459 FINISHED
Object Miramor 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: Miramor District | Statement: [Daykundi, hasDistrict, Miramor District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miramor District
Context triple: [Daykundi, hasDistrict, Miramor District]
  • A. Miramor District chosen
    Miramor District is an administrative district located within Daykundi Province in central Afghanistan, known for its predominantly rural communities and mountainous terrain.
  • B. Duki District
    Duki District is an administrative district in Pakistan’s Balochistan province, situated within its predominantly Pashtun-inhabited region.
  • C. Marzoll district
    Marzoll district is a locality within the spa town of Bad Reichenhall in Bavaria, Germany, known for its scenic Alpine setting near the Austrian border.
  • D. Surselva District
    Surselva District is an administrative district in the canton of Graubünden in eastern Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
  • E. Zurite District
    Zurite District is an administrative district located in Anta Province within Peru's Cusco Region, known for its Andean landscapes and agricultural terraces.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124857dcc8190ab474cd8ab9c130a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.