Triple

T5060352
Position Surface form Disambiguated ID Type / Status
Subject Vidisha E114006 entity
Predicate hasHistoricalName P2834 FINISHED
Object Besnagar
Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
 E491313 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: Besnagar | Statement: [Vidisha, hasHistoricalName, Besnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Besnagar
Context triple: [Vidisha, hasHistoricalName, Besnagar]
  • A. Bendale
    Bendale is a residential neighbourhood located in the Scarborough district of Toronto, Ontario, Canada.
  • B. Kausani
    Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
  • C. Barvikha
    Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
  • D. Banavasi
    Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
  • E. Verbania
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • 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: Besnagar
Triple: [Vidisha, hasHistoricalName, Besnagar]
Generated description
Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Besnagar
Target entity description: Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
  • A. Bendale
    Bendale is a residential neighbourhood located in the Scarborough district of Toronto, Ontario, Canada.
  • B. Kausani
    Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
  • C. Barvikha
    Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
  • D. Banavasi
    Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
  • E. Verbania
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7472a1dc8190942f568a81fdd961 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.