Triple

T4986848
Position Surface form Disambiguated ID Type / Status
Subject Braj region E112023 entity
Predicate containsCity P294 FINISHED
Object 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.
 E493312 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: Kheragarh | Statement: [Braj region, containsCity, Kheragarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kheragarh
Context triple: [Braj region, containsCity, Kheragarh]
  • A. Naraingarh
    Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
  • B. 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.
  • C. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • D. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • E. Baijnath
    Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
  • 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: Kheragarh
Triple: [Braj region, containsCity, Kheragarh]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kheragarh
Target entity description: 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.
  • A. Naraingarh
    Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
  • B. 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.
  • C. Ramgarh
    Ramgarh is a town and administrative district headquarters in the Indian state of Jharkhand, known for its coal mining and industrial activities.
  • D. Laxmangarh
    Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
  • E. Baijnath
    Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727c25bc8190b72f6ddd3772c80a completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba546a1081909fe082663ad5e238 completed March 21, 2026, 3:33 p.m.
NEDg Description generation batch_69bebc21b21c8190ad1c234ecbb8d431 completed March 21, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69bebc71065881908b27a2808fc4e630 completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:34 p.m.