Triple

T2686402
Position Surface form Disambiguated ID Type / Status
Subject Sikar E57493 entity
Predicate hasNotableArea P494 FINISHED
Object Sri Madhopur
Sri Madhopur is a town in the Sikar district of Rajasthan, India, known for its historical significance and regional trade and agriculture.
 E295886 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: Sri Madhopur | Statement: [Sikar, hasNotableArea, Sri Madhopur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sri Madhopur
Context triple: [Sikar, hasNotableArea, Sri Madhopur]
  • A. 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.
  • 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. Madhepur
    Madhepur is a town located in the Madhubani district of the Indian state of Bihar.
  • D. Sawai Madhopur
    Sawai Madhopur is a town in Rajasthan, India, best known as the main gateway to the tiger-rich Ranthambore region and its historic fort.
  • E. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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: Sri Madhopur
Triple: [Sikar, hasNotableArea, Sri Madhopur]
Generated description
Sri Madhopur is a town in the Sikar district of Rajasthan, India, known for its historical significance and regional trade and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sri Madhopur
Target entity description: Sri Madhopur is a town in the Sikar district of Rajasthan, India, known for its historical significance and regional trade and agriculture.
  • A. 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.
  • 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. Madhepur
    Madhepur is a town located in the Madhubani district of the Indian state of Bihar.
  • D. Sawai Madhopur
    Sawai Madhopur is a town in Rajasthan, India, best known as the main gateway to the tiger-rich Ranthambore region and its historic fort.
  • E. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9ef2fe0819082bbe746ca682a7e completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb6de488190a0fb87efc7297ccb completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbcc1dd988190826ab05e55adf1ee completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbd452e1c8190a3ee9eaf642e80a0 completed March 10, 2026, 6:42 a.m.
Created at: March 6, 2026, 9:54 p.m.