Triple

T11168571
Position Surface form Disambiguated ID Type / Status
Subject Sirajganj E264217 entity
Predicate isPartOf P10 FINISHED
Object Sirajganj District E264217 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: Sirajganj District | Statement: [Sirajganj, isPartOf, Sirajganj District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirajganj District
Context triple: [Sirajganj, isPartOf, Sirajganj District]
  • A. Munshiganj District
    Munshiganj District is an administrative district in central Bangladesh known for its historical significance and proximity to the capital, Dhaka.
  • B. Kishoreganj District
    Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
  • C. Shariatpur District
    Shariatpur District is an administrative district in central Bangladesh known for its riverine landscape and agriculture, situated within the Dhaka Division.
  • D. 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.
  • E. Sirajganj chosen
    Sirajganj is a city in north-central Bangladesh known as a key river port and commercial hub on the banks of the Jamuna River.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc0f84008190b5306323aff4a300 completed April 19, 2026, 12:35 p.m.
Created at: April 8, 2026, 9:29 p.m.