Triple

T8877454
Position Surface form Disambiguated ID Type / Status
Subject Tonk State E211322 entity
Predicate capital P234 FINISHED
Object Tonk
Tonk is a historic town in the Indian state of Rajasthan, known for its rich Indo-Islamic architectural heritage and cultural significance.
E764139 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: Tonk | Statement: [Tonk State, capital, Tonk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonk
Context triple: [Tonk State, capital, Tonk]
  • A. Vadtal Gadi
    Vadtal Gadi is a major diocesan seat of the Swaminarayan Sampradaya that oversees and administers numerous Swaminarayan temples and religious activities.
  • B. Toofer
    Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
  • C. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • D. Kombi
    Kombi is the popular nickname for the Volkswagen Type 2, a classic rear-engined van and minibus icon of mid-20th-century automotive and counterculture history.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern 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: Tonk
Triple: [Tonk State, capital, Tonk]
Generated description
Tonk is a historic town in the Indian state of Rajasthan, known for its rich Indo-Islamic architectural heritage and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tonk
Target entity description: Tonk is a historic town in the Indian state of Rajasthan, known for its rich Indo-Islamic architectural heritage and cultural significance.
  • A. Vadtal Gadi
    Vadtal Gadi is a major diocesan seat of the Swaminarayan Sampradaya that oversees and administers numerous Swaminarayan temples and religious activities.
  • B. Toofer
    Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
  • C. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • D. Kombi
    Kombi is the popular nickname for the Volkswagen Type 2, a classic rear-engined van and minibus icon of mid-20th-century automotive and counterculture history.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61496870819097c55c73aca62aac completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabaf57b88190a71d5303767ab517 completed April 3, 2026, 11:59 a.m.
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:52 p.m.