Triple

T19099093
Position Surface form Disambiguated ID Type / Status
Subject Bandhavgarh Fort E467482 entity
Predicate dedicatedTo P500 FINISHED
Object Lord Vishnu 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: Lord Vishnu | Statement: [Bandhavgarh Fort, dedicatedTo, Lord Vishnu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Vishnu
Context triple: [Bandhavgarh Fort, dedicatedTo, Lord Vishnu]
  • A. Vishnu chosen
    Vishnu is a principal Hindu god revered as the preserver and protector of the universe, often depicted with blue skin and four arms and associated with avatars such as Rama and Krishna.
  • B. Crishna
    Crishna is the family name of Smita Crishna-Godrej, a member of the prominent Indian industrialist Godrej family.
  • C. Shiva
    Shiva is a principal Hindu god revered as the destroyer and transformer within the religion’s divine trinity, associated with asceticism, cosmic dance, and the cycle of creation and dissolution.
  • D. Venkateswara
    Venkateswara is a revered form of the Hindu god Vishnu, primarily worshipped at the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • E. Vighneshvara
    Vighneshvara is a prominent form of the Hindu god Ganesha, revered as the remover of obstacles and patron of beginnings and wisdom.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36c55688190b4a5135ea10c9924 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.