Triple

T15428505
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate containsCity P294 FINISHED
Object Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
 E1157353 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: Ishwarpur | Statement: [Madhesh Province, containsCity, Ishwarpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ishwarpur
Context triple: [Madhesh Province, containsCity, Ishwarpur]
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • D. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
  • E. Mahipalpur
    Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
  • 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: Ishwarpur
Triple: [Madhesh Province, containsCity, Ishwarpur]
Generated description
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ishwarpur
Target entity description: Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • D. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
  • E. Mahipalpur
    Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a3d1f481908f6795656514b2b4 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff2299ac9481909ad213ff5bb01db3 completed May 9, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff2325e6a48190bee256ef8720ba8e completed May 9, 2026, 12:05 p.m.
Created at: April 10, 2026, 3:20 a.m.