Triple

T37737486
Position Surface form Disambiguated ID Type / Status
Subject Kusinara E940313 entity
Predicate partOf P40 FINISHED
Object Buddhist Circuit in India
The Buddhist Circuit in India is a pilgrimage route that connects key sites associated with the life of Gautama Buddha, including places of his birth, enlightenment, first sermon, and death.
E2241280 NE FINISHED

How this triple was built (2 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: Buddhist Circuit in India | Statement: [Kusinara, partOf, Buddhist Circuit in India]
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: Buddhist Circuit in India
Triple: [Kusinara, partOf, Buddhist Circuit in India]
Generated description
The Buddhist Circuit in India is a pilgrimage route that connects key sites associated with the life of Gautama Buddha, including places of his birth, enlightenment, first sermon, and death.

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_69f76edefd048190a32212c5c3919531 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae9c36cc819097f3538b8fe5372c completed May 6, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40d68775688190b5876b427ba6c946 completed June 28, 2026, 8:08 a.m.
NEDg Description generation batch_6a40d8c963008190b53f87e737b1e7b6 completed June 28, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a40db2567d08190900ec701b3689062 completed June 28, 2026, 8:28 a.m.
Created at: May 3, 2026, 4:18 p.m.