Triple

T20457414
Position Surface form Disambiguated ID Type / Status
Subject Faridpur E501827 entity
Predicate governingBody P46 FINISHED
Object Faridpur Municipality NE NERFINISHED

How this triple was built (3 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: Faridpur Municipality | Statement: [Faridpur, governingBody, Faridpur Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faridpur Municipality
Context triple: [Faridpur, governingBody, Faridpur Municipality]
  • A. Rangpur City Corporation
    Rangpur City Corporation is the local government body responsible for municipal administration and urban services in the city of Rangpur, Bangladesh.
  • B. Savar Upazila
    Savar Upazila is a major suburban and industrial administrative region near Dhaka, Bangladesh, known for its garment factories, educational institutions, and the National Martyrs’ Memorial.
  • C. Madaripur District
    Madaripur District is an administrative district in central Bangladesh known for its agricultural economy and location within the Dhaka Division.
  • D. Liaquatabad Town
    Liaquatabad Town is a densely populated residential and commercial locality in Karachi, Pakistan, known for its bustling markets and central urban location.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faridpur Municipality
Target entity description: Faridpur Municipality is the local urban administrative authority responsible for managing civic services and governance in the town of Faridpur, Bangladesh.
  • A. Rangpur City Corporation
    Rangpur City Corporation is the local government body responsible for municipal administration and urban services in the city of Rangpur, Bangladesh.
  • B. Savar Upazila
    Savar Upazila is a major suburban and industrial administrative region near Dhaka, Bangladesh, known for its garment factories, educational institutions, and the National Martyrs’ Memorial.
  • C. Madaripur District
    Madaripur District is an administrative district in central Bangladesh known for its agricultural economy and location within the Dhaka Division.
  • D. Liaquatabad Town
    Liaquatabad Town is a densely populated residential and commercial locality in Karachi, Pakistan, known for its bustling markets and central urban location.
  • E. 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.
  • F. None of above. chosen

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a2a8a88190992211b09295d8ea completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.