Triple

T15095159
Position Surface form Disambiguated ID Type / Status
Subject Surat metropolitan region E360518 entity
Predicate hasSuburb P747 FINISHED
Object Varachha
Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
 E1139425 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: Varachha | Statement: [Surat metropolitan region, hasSuburb, Varachha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varachha
Context triple: [Surat metropolitan region, hasSuburb, Varachha]
  • A. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • B. Kherwara
    Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
  • C. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • D. Jambusar
    Jambusar is a town in the Bharuch district of Gujarat, India, known for its historical significance and regional trade and agriculture.
  • E. Pipavav
    Pipavav is a coastal town in Gujarat, India, known primarily for hosting one of the country’s major private ports and associated shipbuilding and maritime industries.
  • 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: Varachha
Triple: [Surat metropolitan region, hasSuburb, Varachha]
Generated description
Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varachha
Target entity description: Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
  • A. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • B. Kherwara
    Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
  • C. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • D. Jambusar
    Jambusar is a town in the Bharuch district of Gujarat, India, known for its historical significance and regional trade and agriculture.
  • E. Pipavav
    Pipavav is a coastal town in Gujarat, India, known primarily for hosting one of the country’s major private ports and associated shipbuilding and maritime industries.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfdffb6081909012cf0707f5c9f5 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec0c97f4c819084ba9eb2d8f69ceb completed May 9, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fec13ccea48190aeb155af012478b8 completed May 9, 2026, 5:08 a.m.
Created at: April 10, 2026, 3:04 a.m.