Triple

T11477594
Position Surface form Disambiguated ID Type / Status
Subject Bannu campus E272062 entity
Predicate name P16 FINISHED
Object Bannu campus E272062 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: Bannu campus | Statement: [Bannu campus, name, Bannu campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bannu campus
Context triple: [Bannu campus, name, Bannu campus]
  • A. Bannu campus chosen
    Bannu campus is a regional campus of the University of Engineering and Technology Peshawar that offers engineering and technology degree programs to students in and around Bannu, Pakistan.
  • B. Tajur Campus
    Tajur Campus is one of the educational sites of IPB University in Indonesia, supporting its academic and research activities.
  • C. Vehari Campus
    Vehari Campus is a regional campus of COMSATS University Islamabad located in Vehari, Pakistan, offering undergraduate and graduate programs in various disciplines.
  • D. Mardan campus
    Mardan campus is a regional campus of the University of Engineering and Technology Peshawar offering engineering and technology degree programs in the Mardan area of Pakistan.
  • E. Attock Campus
    Attock Campus is a regional campus of COMSATS University Islamabad located in Attock, Pakistan, offering higher education programs in various disciplines.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e970743c8190a5be4d59d1b941d6 completed April 20, 2026, 8:53 a.m.
Created at: April 8, 2026, 9:36 p.m.