Triple

T7730779
Position Surface form Disambiguated ID Type / Status
Subject Hanumangarh district E175245 entity
Predicate hasMajorTown P316 FINISHED
Object Nohar
Nohar is a prominent town in Rajasthan, India, known as an important local center for trade and agriculture within the Hanumangarh region.
 E685218 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: Nohar | Statement: [Hanumangarh district, hasMajorTown, Nohar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nohar
Context triple: [Hanumangarh district, hasMajorTown, Nohar]
  • A. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • D. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • E. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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: Nohar
Triple: [Hanumangarh district, hasMajorTown, Nohar]
Generated description
Nohar is a prominent town in Rajasthan, India, known as an important local center for trade and agriculture within the Hanumangarh region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nohar
Target entity description: Nohar is a prominent town in Rajasthan, India, known as an important local center for trade and agriculture within the Hanumangarh region.
  • A. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • D. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • E. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52e176481908595fea4ace7a607 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b69c1644819097b84ba84fac9cd2 completed March 29, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69c8ba9115a08190b569931686a9cd8d completed March 29, 2026, 5:37 a.m.
Created at: March 27, 2026, 4:06 p.m.