Triple

T19707905
Position Surface form Disambiguated ID Type / Status
Subject Avirodha Adhyaya E473262 entity
Predicate addressesSchool P137029 FINISHED
Object Yoga NE NERFINISHED

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: Yoga | Statement: [Avirodha Adhyaya, addressesSchool, Yoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoga
Context triple: [Avirodha Adhyaya, addressesSchool, Yoga]
  • A. Yoga
    Yoga is a residential and commercial neighborhood in Setagaya, Tokyo, known for its convenient transport links and urban lifestyle.
  • B. Yoga
    Yoga is Lenovo’s line of versatile laptops and 2-in-1 convertible devices known for their flexible hinges and portable design.
  • C. Yoga chosen
    Yoga is an ancient Indian philosophical and spiritual tradition that combines physical practices, meditation, and ethical disciplines to achieve mental clarity, self-realization, and liberation.
  • D. Jóga
    "Jóga" is a 1997 song by Icelandic artist Björk, known for its dramatic string arrangements and emotional intensity, often cited as one of her signature tracks.
  • E. Hatha Yoga
    Hatha Yoga is a branch of yoga focused on physical postures, breath control, and purification practices that aims to prepare the body and mind for higher meditative states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642bc754481908bdf5bfad069aec8 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.