Triple

T8405724
Position Surface form Disambiguated ID Type / Status
Subject Sonargaon E198493 entity
Predicate locatedIn P40 FINISHED
Object Narayanganj District E592017 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: Narayanganj District | Statement: [Sonargaon, locatedIn, Narayanganj District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narayanganj District
Context triple: [Sonargaon, locatedIn, Narayanganj District]
  • A. Narayanganj District chosen
    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.
  • B. Madaripur District
    Madaripur District is an administrative district in central Bangladesh known for its agricultural economy and location within the Dhaka Division.
  • C. Munshiganj District
    Munshiganj District is an administrative district in central Bangladesh known for its historical significance and proximity to the capital, Dhaka.
  • D. Narayanganj City
    Narayanganj City is a major industrial and river port city in central Bangladesh, known for its textile and jute industries and its proximity to the capital, Dhaka.
  • E. Kishoreganj District
    Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cef2e998c48190a112fcf5567f0056 completed April 2, 2026, 10:51 p.m.
Created at: March 30, 2026, 6:05 p.m.