Triple

T17569722
Position Surface form Disambiguated ID Type / Status
Subject Sheberghan E427903 entity
Predicate administrativeDivision P747 FINISHED
Object Sheberghan 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: Sheberghan District | Statement: [Sheberghan, administrativeDivision, Sheberghan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheberghan District
Context triple: [Sheberghan, administrativeDivision, Sheberghan District]
  • A. Sheberghan District chosen
    Sheberghan District is an administrative district in northern Afghanistan centered around the city of Sheberghan, a regional hub for trade and agriculture.
  • B. Khogyani District
    Khogyani District is an administrative district in eastern Afghanistan known for its largely rural Pashtun population and its location within Nangarhar Province near the Pakistan border.
  • C. Nushki District
    Nushki District is an administrative district in the Balochistan province of Pakistan, known for its arid landscape and strategic location near the Afghan border.
  • D. Mirzaka District
    Mirzaka District is an administrative district located within Paktia Province in eastern Afghanistan.
  • E. Ghorak District
    Ghorak District is a rural administrative district in southern Afghanistan, located within Kandahar Province and known for its mountainous terrain and security challenges.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592fe8408190bd8fed1920ab3601 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.