Triple

T9821241
Position Surface form Disambiguated ID Type / Status
Subject Daikundi Province E238534 entity
Predicate hasDistrict P459 FINISHED
Object Shahristan District E547894 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: Shahristan District | Statement: [Daikundi Province, hasDistrict, Shahristan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahristan District
Context triple: [Daikundi Province, hasDistrict, Shahristan District]
  • A. Saydabad District
    Saydabad District is an administrative district in Afghanistan located within Wardak Province, known for its strategic position along the Kabul–Kandahar highway and its predominantly rural communities.
  • B. Ziarat District
    Ziarat District is a mountainous administrative region in northeastern Balochistan, Pakistan, known for its juniper forests and the historic Ziarat Residency.
  • C. Hesarak District
    Hesarak District is an administrative district located in eastern Afghanistan within Nangarhar Province.
  • D. Shatrah District
    Shatrah District is an administrative district in southern Iraq, located within Dhi Qar Governorate and centered around the town of Al-Shatrah.
  • E. Sangi Takht District chosen
    Sangi Takht District is an administrative district located within Afghanistan’s central Daykundi Province.
  • 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_69d23ceca020819080f310f84669551a completed April 5, 2026, 10:43 a.m.
Created at: March 30, 2026, 8:31 p.m.