Triple

T20837047
Position Surface form Disambiguated ID Type / Status
Subject Gereshk E512986 entity
Predicate district P2709 FINISHED
Object Gereshk 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: Gereshk District | Statement: [Gereshk, district, Gereshk District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gereshk District
Context triple: [Gereshk, district, Gereshk District]
  • A. Gereshk District chosen
    Gereshk District is an administrative region in Helmand Province, southern Afghanistan, known for its strategic location along the Helmand River and the Kandahar–Herat highway.
  • B. Hesarak District
    Hesarak District is an administrative district located in eastern Afghanistan within Nangarhar Province.
  • C. Kushk District
    Kushk District is an administrative district in northwestern Afghanistan known for its location along the border with Turkmenistan within Herat Province.
  • D. Ziarat District
    Ziarat District is a mountainous administrative region in northeastern Balochistan, Pakistan, known for its juniper forests and the historic Ziarat Residency.
  • E. Darzab District
    Darzab District is an administrative district in northern Afghanistan, located within Jowzjan Province and known for its rural communities 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.