Triple

T8082805
Position Surface form Disambiguated ID Type / Status
Subject Abdullah Abdullah E188657 entity
Predicate educatedAt P5 FINISHED
Object Kabul University E118520 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 University | Statement: [Abdullah Abdullah, educatedAt, Kabul University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabul University
Context triple: [Abdullah Abdullah, educatedAt, Kabul University]
  • A. Kabul University chosen
    Kabul University is Afghanistan’s oldest and most prominent public institution of higher education, located in the capital city of Kabul.
  • B. Polytechnic University of Kabul
    The Polytechnic University of Kabul is a major Afghan higher education institution specializing in engineering and technical fields, located in the capital city, Kabul.
  • C. Nangarhar University
    Nangarhar University is a major public higher education institution in eastern Afghanistan, known for its wide range of academic programs and regional influence.
  • D. Tajik National University
    Tajik National University is the largest and oldest higher education institution in Tajikistan, serving as a major center for academic and scientific research in the country.
  • E. University of Central Asia
    The University of Central Asia is a regional, internationally oriented university dedicated to promoting social and economic development in Central Asia through higher education and research.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ff37a88190a980e023a9b7c30c completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:28 p.m.