Triple

T6250153
Position Surface form Disambiguated ID Type / Status
Subject Ahsan Manzil E140024 entity
Predicate district P2709 FINISHED
Object Dhaka District E141972 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: Dhaka District | Statement: [Ahsan Manzil, district, Dhaka District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaka District
Context triple: [Ahsan Manzil, district, Dhaka District]
  • A. Dhaka District chosen
    Dhaka District is an administrative region in central Bangladesh that encompasses the nation’s capital city and serves as a major political, economic, and cultural hub.
  • B. Dhaka Division
    Dhaka Division is an administrative region in central Bangladesh that includes the nation’s capital and serves as a major political, economic, and cultural hub.
  • C. Gazipur District
    Gazipur District is an important industrial and suburban area of central Bangladesh known for its garment factories, educational institutions, and proximity to the capital, Dhaka.
  • D. Rangpur
    Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
  • E. Narayanganj District
    Narayanganj District is an industrially important and densely populated district in central Bangladesh, known especially for its textile and jute industries and its proximity to the capital, Dhaka.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633dde348190bbf02a943d94e3be completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66373add88190b5fad625c4284c55 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:24 p.m.