Triple

T19698913
Position Surface form Disambiguated ID Type / Status
Subject Vijaya bow E473038 entity
Predicate opposedTo P437 FINISHED
Object Gandiva 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: Gandiva | Statement: [Vijaya bow, opposedTo, Gandiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gandiva
Context triple: [Vijaya bow, opposedTo, Gandiva]
  • A. Gandiva bow chosen
    The Gandiva bow is the legendary celestial weapon of the hero Arjuna in the Indian epic Mahabharata, renowned for its immense power and divine origin.
  • B. Talwara
    Talwara is a small town in the Indian state of Himachal Pradesh, known primarily for its proximity to the Pong Dam on the Beas River.
  • C. Raurava
    Raurava is a particularly terrifying hell realm in Hindu cosmology, known for the intense suffering it inflicts on sinners.
  • D. Trishul
    Trishul is a 1978 Hindi drama film directed by Yash Chopra, renowned for its intense family conflict, powerful performances, and memorable music.
  • E. Trishul
    Trishul is a prominent three-peaked Himalayan mountain massif in the Kumaon region of Uttarakhand, India, popular among mountaineers and known for its distinctive trident-like shape.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b426608190a46abec3652a6ca0 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.