Triple

T9821237
Position Surface form Disambiguated ID Type / Status
Subject Daikundi Province E238534 entity
Predicate hasDistrict P459 FINISHED
Object Nili District E547893 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: Nili District | Statement: [Daikundi Province, hasDistrict, Nili District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nili District
Context triple: [Daikundi Province, 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. Gouraya District
    Gouraya District is an administrative district located within Algeria’s coastal Tipaza Province, known for its Mediterranean shoreline and proximity to the Gouraya National Park area.
  • C. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • D. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • E. Rezina District
    Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.