Triple

T5060228
Position Surface form Disambiguated ID Type / Status
Subject Vidarbha E114004 entity
Predicate hasMajorCity P316 FINISHED
Object Bhandara
Bhandara is a town and district headquarters in the Vidarbha region of Maharashtra, India, known for its rice production and proximity to several lakes and rivers.
 E491306 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: Bhandara | Statement: [Vidarbha, hasMajorCity, Bhandara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhandara
Context triple: [Vidarbha, hasMajorCity, Bhandara]
  • A. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • B. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • C. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • D. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • E. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • 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: Bhandara
Triple: [Vidarbha, hasMajorCity, Bhandara]
Generated description
Bhandara is a town and district headquarters in the Vidarbha region of Maharashtra, India, known for its rice production and proximity to several lakes and rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhandara
Target entity description: Bhandara is a town and district headquarters in the Vidarbha region of Maharashtra, India, known for its rice production and proximity to several lakes and rivers.
  • A. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • B. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • C. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • D. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • E. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7472a1dc8190942f568a81fdd961 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.