Triple

T7016508
Position Surface form Disambiguated ID Type / Status
Subject Chandanpura Mosque E162711 entity
Predicate locatedIn P40 FINISHED
Object Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
E642449 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: Chandanpura | Statement: [Chandanpura Mosque, locatedIn, Chandanpura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandanpura
Context triple: [Chandanpura Mosque, locatedIn, Chandanpura]
  • A. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • 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. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • D. Sohagpur
    Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
  • 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: Chandanpura
Triple: [Chandanpura Mosque, locatedIn, Chandanpura]
Generated description
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chandanpura
Target entity description: Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
  • A. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • 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. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • D. Sohagpur
    Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d629fc81908854390ddf99b1db completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c80aae08190a388db9110fdebdf completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79e00778c819089491a23c5d9e92f completed March 28, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c79e5104d88190aa553672930f2e8c completed March 28, 2026, 9:24 a.m.
Created at: March 27, 2026, 2:34 p.m.