Triple

T17648727
Position Surface form Disambiguated ID Type / Status
Subject Yoga Vasistha E429428 entity
Predicate hasListener P1053 FINISHED
Object Prince Rama NE NERFINISHED

How this triple was built (3 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: Prince Rama | Statement: [Yoga Vasistha, hasListener, Prince Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Rama
Context triple: [Yoga Vasistha, hasListener, Prince Rama]
  • A. Lord Rama chosen
    Lord Rama is a principal deity in Hinduism, revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
  • B. Rama
    Rama is a Palestinian village in the Galilee region of northern Israel, historically notable for its capture during the 1948 Arab–Israeli War.
  • C. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • D. Rama
    Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
  • E. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasListener
Context triple: [Yoga Vasistha, hasListener, Prince Rama]
  • A. hasListeningEvent
    Indicates that an entity participates in or is associated with an event in which listening or audio consumption occurs.
  • B. hasListeningContext
    Indicates that an entity is associated with a particular listening situation or environment in which audio is being received or monitored.
  • C. hasObserver chosen
    Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
  • D. hasHandler
    Indicates that one entity is responsible for managing, controlling, or processing another entity.
  • E. hasEmitter
    Indicates that one entity functions as the source or origin that emits or sends out something associated with another entity.
  • F. None of above.

Provenance (3 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3bc2f8819092e3365d9e798386 completed April 19, 2026, 5:55 a.m.
PD Predicate disambiguation batch_69e3cddc87188190ac2f049b86038676 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 6:05 a.m.