Triple

T7870613
Position Surface form Disambiguated ID Type / Status
Subject Yasin Zia E182726 entity
Predicate placeOfActivity P1527 FINISHED
Object Kabul E55103 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: Kabul | Statement: [Yasin Zia, placeOfActivity, Kabul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabul
Context triple: [Yasin Zia, placeOfActivity, Kabul]
  • A. Kabul chosen
    Kabul is the capital and largest city of Afghanistan, serving as its political, cultural, and economic center in the eastern part of the country.
  • B. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • C. Mazar-i-Sharif
    Mazar-i-Sharif is a major city in northern Afghanistan known for its strategic importance, ethnic diversity, and the revered Blue Mosque, making it a focal point in the country’s political and military conflicts.
  • D. Jalalabad, Afghanistan
    Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of the region.
  • E. Herat
    Herat is a historic city in western Afghanistan that flourished as a major cultural and political center of the Timurid Empire and a key hub on the Silk Road.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a715bbc8190923ef94ccf91c878 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:55 p.m.