Triple

T4986826
Position Surface form Disambiguated ID Type / Status
Subject Braj region E112023 entity
Predicate containsCity P294 FINISHED
Object Radhakund
Radhakund is a revered pilgrimage town in Uttar Pradesh, India, centered around a sacred lake associated with the divine pastimes of Radha and Krishna in the Braj region.
 E485168 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: Radhakund | Statement: [Braj region, containsCity, Radhakund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Radhakund
Context triple: [Braj region, containsCity, Radhakund]
  • A. Babatpur
    Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
  • 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. Kohalpur
    Kohalpur is a growing commercial and transportation hub town in southwestern Nepal, known for its strategic location on the East–West Highway.
  • D. Ramakrishnapur
    Ramakrishnapur is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Ghoghardiha
    Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
  • 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: Radhakund
Triple: [Braj region, containsCity, Radhakund]
Generated description
Radhakund is a revered pilgrimage town in Uttar Pradesh, India, centered around a sacred lake associated with the divine pastimes of Radha and Krishna in the Braj region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Radhakund
Target entity description: Radhakund is a revered pilgrimage town in Uttar Pradesh, India, centered around a sacred lake associated with the divine pastimes of Radha and Krishna in the Braj region.
  • A. Babatpur
    Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
  • 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. Kohalpur
    Kohalpur is a growing commercial and transportation hub town in southwestern Nepal, known for its strategic location on the East–West Highway.
  • D. Ramakrishnapur
    Ramakrishnapur is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Ghoghardiha
    Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
  • 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_69be8a1ca3ec81908ad750cd9e899bcc completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8a7e90b08190852cc45b7d8f0dc7 completed March 21, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69be8b4411b48190a12d694321453492 completed March 21, 2026, 12:12 p.m.
Created at: March 20, 2026, 1:34 p.m.