Triple

T8573154
Position Surface form Disambiguated ID Type / Status
Subject Bikaner district E202976 entity
Predicate containsTown P847 FINISHED
Object Nokha
Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
 E748132 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: Nokha | Statement: [Bikaner district, containsTown, Nokha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nokha
Context triple: [Bikaner district, containsTown, Nokha]
  • A. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • B. Nok Kundi
    Nok Kundi is a small town in Pakistan’s Balochistan province, known as a remote settlement near the border with Iran and Afghanistan.
  • C. Noukadubi
    Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
  • D. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • E. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • 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: Nokha
Triple: [Bikaner district, containsTown, Nokha]
Generated description
Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nokha
Target entity description: Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • A. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • B. Nok Kundi
    Nok Kundi is a small town in Pakistan’s Balochistan province, known as a remote settlement near the border with Iran and Afghanistan.
  • C. Noukadubi
    Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
  • D. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • E. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb8e8b9481908f7096acefaa0ffd completed April 2, 2026, 6:55 p.m.
NEDg Description generation batch_69cebc9d4ca88190942c333806181b55 completed April 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69cec0a9c39c8190a7bcecc6927b98f0 completed April 2, 2026, 7:16 p.m.
Created at: March 30, 2026, 6:21 p.m.