Triple

T18837007
Position Surface form Disambiguated ID Type / Status
Subject Raisen district E460689 entity
Predicate contains P35 FINISHED
Object Begumganj 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: Begumganj | Statement: [Raisen district, contains, Begumganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begumganj
Context triple: [Raisen district, contains, Begumganj]
  • A. Nawabganj
    Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
  • B. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • C. Jamalpur
    Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
  • D. Agargaon
    Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
  • E. Mohiuddinnagar
    Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
  • 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: Begumganj
Target entity description: Begumganj is a town and administrative subdivision in the Raisen district of Madhya Pradesh, India.
  • A. Nawabganj
    Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
  • B. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • C. Jamalpur
    Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
  • D. Agargaon
    Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
  • E. Mohiuddinnagar
    Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.