Triple

T19096255
Position Surface form Disambiguated ID Type / Status
Subject Dhaka Cantonment E467412 entity
Predicate contains P35 FINISHED
Object Armed Forces Medical College NE NERFINISHED

How this triple was built (3 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: Armed Forces Medical College | Statement: [Dhaka Cantonment, contains, Armed Forces Medical College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armed Forces Medical College
Context triple: [Dhaka Cantonment, contains, Armed Forces Medical College]
  • A. Peoples Medical College
    Peoples Medical College is a public medical institution located in Nawabshah, Sindh, Pakistan, known for training healthcare professionals and serving the region’s medical needs.
  • B. Ghulam Muhammad Mahar Medical College
    Ghulam Muhammad Mahar Medical College is a public medical institution in Sukkur, Pakistan, offering undergraduate and postgraduate medical education and training.
  • C. Nawaz Sharif Medical College
    Nawaz Sharif Medical College is a public medical education institution in Gujrat, Pakistan, offering undergraduate medical degrees and training healthcare professionals.
  • D. Nowshera Medical College
    Nowshera Medical College is a public medical institution in Nowshera, Pakistan, offering undergraduate and postgraduate medical education and training.
  • E. Ayub Medical College
    Ayub Medical College is a prominent public medical education institution located in Abbottabad, Pakistan, known for training doctors and healthcare professionals for the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armed Forces Medical College
Target entity description: Armed Forces Medical College is a premier military-run medical institution in Dhaka, Bangladesh, that trains medical professionals for the country’s armed forces and civilian healthcare system.
  • A. Peoples Medical College
    Peoples Medical College is a public medical institution located in Nawabshah, Sindh, Pakistan, known for training healthcare professionals and serving the region’s medical needs.
  • B. Ghulam Muhammad Mahar Medical College
    Ghulam Muhammad Mahar Medical College is a public medical institution in Sukkur, Pakistan, offering undergraduate and postgraduate medical education and training.
  • C. Nawaz Sharif Medical College
    Nawaz Sharif Medical College is a public medical education institution in Gujrat, Pakistan, offering undergraduate medical degrees and training healthcare professionals.
  • D. Nowshera Medical College
    Nowshera Medical College is a public medical institution in Nowshera, Pakistan, offering undergraduate and postgraduate medical education and training.
  • E. Ayub Medical College
    Ayub Medical College is a prominent public medical education institution located in Abbottabad, Pakistan, known for training doctors and healthcare professionals for the region.
  • F. None of above. chosen

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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.