Triple

T5809054
Position Surface form Disambiguated ID Type / Status
Subject Bhavani E128820 entity
Predicate majorTempleLocation P21132 FINISHED
Object Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
 E551290 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: Tuljapur | Statement: [Bhavani, majorTempleLocation, Tuljapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuljapur
Context triple: [Bhavani, majorTempleLocation, Tuljapur]
  • A. 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.
  • B. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • C. Deoli
    Deoli is a town in the Indian state of Maharashtra, situated within the Wardha district and known for its agricultural surroundings and local trade.
  • D. Nagole
    Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
  • E. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian 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: Tuljapur
Triple: [Bhavani, majorTempleLocation, Tuljapur]
Generated description
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuljapur
Target entity description: Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
  • A. 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.
  • B. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • C. Deoli
    Deoli is a town in the Indian state of Maharashtra, situated within the Wardha district and known for its agricultural surroundings and local trade.
  • D. Nagole
    Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
  • E. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1867a481909a7ea3331dbb04ce completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1826cc081909572d9bf99d5f670 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a210d9788190b3a40e8ec2f2c6b6 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2afcef88190a77c8089a1b85393 completed March 23, 2026, 2:17 a.m.
Created at: March 22, 2026, 3:52 p.m.