Triple

T21668365
Position Surface form Disambiguated ID Type / Status
Subject Lalbagh area of Dhaka E534778 entity
Predicate near P350 FINISHED
Object Azimpur area of Dhaka 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: Azimpur area of Dhaka | Statement: [Lalbagh area of Dhaka, near, Azimpur area of Dhaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azimpur area of Dhaka
Context triple: [Lalbagh area of Dhaka, near, Azimpur area of Dhaka]
  • A. Chawkbazar area of Dhaka
    The Chawkbazar area of Dhaka is a historic, densely populated commercial neighborhood famous for its traditional markets, food stalls, and vibrant Ramadan street iftar bazaar.
  • B. Lalbagh area of Dhaka
    The Lalbagh area of Dhaka is a historic neighborhood in Bangladesh’s capital city, known for its Mughal-era architecture, dense urban fabric, and cultural landmarks.
  • C. Mirpur, Dhaka
    Mirpur, Dhaka is a major residential and commercial area of Bangladesh’s capital city, best known for housing the Sher-e-Bangla National Cricket Stadium and several key educational and governmental institutions.
  • D. Dhaka University area
    The Dhaka University area is a central academic and cultural hub in Dhaka, Bangladesh, known for its historic campus, student life, and surrounding landmarks.
  • E. Bogra District, Bangladesh
    Bogra District, Bangladesh is an administrative region in northern Bangladesh known for its agricultural productivity, historical sites, and role as a commercial hub in the Rajshahi Division.
  • 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: Azimpur area of Dhaka
Target entity description: The Azimpur area of Dhaka is a historic residential neighborhood in Bangladesh’s capital city, known for its dense urban character and proximity to several important educational and cultural institutions.
  • A. Chawkbazar area of Dhaka
    The Chawkbazar area of Dhaka is a historic, densely populated commercial neighborhood famous for its traditional markets, food stalls, and vibrant Ramadan street iftar bazaar.
  • B. Lalbagh area of Dhaka
    The Lalbagh area of Dhaka is a historic neighborhood in Bangladesh’s capital city, known for its Mughal-era architecture, dense urban fabric, and cultural landmarks.
  • C. Mirpur, Dhaka
    Mirpur, Dhaka is a major residential and commercial area of Bangladesh’s capital city, best known for housing the Sher-e-Bangla National Cricket Stadium and several key educational and governmental institutions.
  • D. Dhaka University area chosen
    The Dhaka University area is a central academic and cultural hub in Dhaka, Bangladesh, known for its historic campus, student life, and surrounding landmarks.
  • E. Bogra District, Bangladesh
    Bogra District, Bangladesh is an administrative region in northern Bangladesh known for its agricultural productivity, historical sites, and role as a commercial hub in the Rajshahi Division.
  • F. None of above.

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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.