Triple

T20602784
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Kabul University E506224 entity
Predicate city P40 FINISHED
Object Kabul 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: Kabul | Statement: [Faculty of Engineering, Kabul University, city, Kabul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabul
Context triple: [Faculty of Engineering, Kabul University, city, 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. Kunduz
    Kunduz is a strategically important city in northern Afghanistan known for its contested control during the Afghan conflict and its role as a regional commercial and transport hub.
  • E. 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.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa20f5c881909265ce7d96efc487 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.