Triple

T11444631
Position Surface form Disambiguated ID Type / Status
Subject Alwar district E271231 entity
Predicate contains P35 FINISHED
Object Kishangarh Bas
Kishangarh Bas is a town and administrative region in the Indian state of Rajasthan, known as one of the subdivisions of the Alwar area.
 E926303 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: Kishangarh Bas | Statement: [Alwar district, contains, Kishangarh Bas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kishangarh Bas
Context triple: [Alwar district, contains, Kishangarh Bas]
  • A. Kheragarh
    Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
  • B. Kishangarh
    Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
  • C. Titagarh
    Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • D. Baijnath
    Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
  • E. Naraingarh
    Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
  • 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: Kishangarh Bas
Triple: [Alwar district, contains, Kishangarh Bas]
Generated description
Kishangarh Bas is a town and administrative region in the Indian state of Rajasthan, known as one of the subdivisions of the Alwar area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kishangarh Bas
Target entity description: Kishangarh Bas is a town and administrative region in the Indian state of Rajasthan, known as one of the subdivisions of the Alwar area.
  • A. Kheragarh
    Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
  • B. Kishangarh
    Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
  • C. Titagarh
    Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • D. Baijnath
    Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
  • E. Naraingarh
    Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088a66f48190b2b4a56cd62097cf completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3afe7fc8190acc8c803ff5efe5a completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d5cac9108190b7756329bfa320d3 completed April 20, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69e5d7fd235081909870476cbc9817b2 completed April 20, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:35 p.m.