Triple

T21972585
Position Surface form Disambiguated ID Type / Status
Subject Daykundi E542625 entity
Predicate hasDistrict P459 FINISHED
Object Nili 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: Nili District | Statement: [Daykundi, hasDistrict, Nili District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nili District
Context triple: [Daykundi, hasDistrict, Nili District]
  • A. Nili District chosen
    Nili District is an administrative district in central Afghanistan that serves as the capital district of Daykundi Province.
  • B. Masin District
    Masin District is an administrative district located within Huari Province in the Ancash Region of Peru, known for its Andean highland geography and rural communities.
  • C. Darel District
    Darel District is an administrative district in the Gilgit-Baltistan region of northern Pakistan, known for its mountainous terrain and remote valleys.
  • D. Tutak District
    Tutak District is an administrative district located within Turkey’s eastern Ağrı Province, known for its rural settlements and mountainous terrain.
  • E. Estalef District
    Estalef District is a rural administrative district in northern Kabul Province, Afghanistan, known for its orchards, traditional villages, and scenic mountainous landscape.
  • 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.