Triple

T23329447
Position Surface form Disambiguated ID Type / Status
Subject Gazipur District E591401 entity
Predicate borderedBy P224 FINISHED
Object Dhaka District NE NERFINISHED

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: [Gazipur District, borderedBy, Dhaka District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaka District
Context triple: [Gazipur District, borderedBy, 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. Chattogram District
    Chattogram District is a major administrative and commercial region in southeastern Bangladesh that includes the country’s principal port city of Chattogram.
  • D. 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.
  • E. Rangpur
    Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197ec22a481908247f5f86acb6ab4 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:14 p.m.