Triple

T21044543
Position Surface form Disambiguated ID Type / Status
Subject Kushtia District E518414 entity
Predicate hasSettlement P1068 FINISHED
Object Daulatpur
Daulatpur is a town and administrative area in western Bangladesh known for its location within the agriculturally important Kushtia region.
E1473219 NE FINISHED

How this triple was built (4 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: Daulatpur | Statement: [Kushtia District, hasSettlement, Daulatpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daulatpur
Context triple: [Kushtia District, hasSettlement, Daulatpur]
  • A. Daulatpur
    Daulatpur is a town and administrative settlement located within the Shaheed Benazirabad District of Sindh province in Pakistan.
  • B. Kumarkhali
    Kumarkhali is a town and administrative center located in the Kushtia District of western Bangladesh.
  • C. Baruipur
    Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
  • D. Jamalpur
    Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
  • E. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daulatpur
Triple: [Kushtia District, hasSettlement, Daulatpur]
Generated description
Daulatpur is a town and administrative area in western Bangladesh known for its location within the agriculturally important Kushtia region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daulatpur
Target entity description: Daulatpur is a town and administrative area in western Bangladesh known for its location within the agriculturally important Kushtia region.
  • A. Daulatpur
    Daulatpur is a town and administrative settlement located within the Shaheed Benazirabad District of Sindh province in Pakistan.
  • B. Kumarkhali
    Kumarkhali is a town and administrative center located in the Kushtia District of western Bangladesh.
  • C. Baruipur
    Baruipur is a suburban town and municipality in West Bengal, India, known as an important residential and commercial hub near Kolkata.
  • D. Jamalpur
    Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
  • E. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • F. None of above. chosen

Provenance (5 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986d4133881909a1d07263a39f5ac completed May 17, 2026, 9:13 a.m.
NEDg Description generation batch_6a0987eca8388190b730beda18ce9fa0 completed May 17, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a09885d7178819093003533c7785dd8 completed May 17, 2026, 9:20 a.m.
Created at: April 16, 2026, 2:24 p.m.