Triple

T6971665
Position Surface form Disambiguated ID Type / Status
Subject Palani E161611 entity
Predicate dedicatedToDeity P8132 FINISHED
Object Subramanya E164754 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: Subramanya | Statement: [Palani, dedicatedToDeity, Subramanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subramanya
Context triple: [Palani, dedicatedToDeity, Subramanya]
  • A. Subramanya chosen
    Subramanya is a Hindu deity of war and wisdom, widely revered in South India and identified with the god Kartikeya (Murugan).
  • B. Ananthabhadram
    Ananthabhadram is a 2005 Malayalam-language fantasy horror film known for its visually rich storytelling and memorable performances.
  • C. Dasaratha
    Dasaratha is the legendary king of Ayodhya in the Hindu epic Ramayana and the father of Lord Rama.
  • D. Neeladri
    Neeladri is one of the sacred hills that form part of the Tirumala hill range associated with the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • E. Kshetrayya
    Kshetrayya was a 17th-century Telugu poet-composer renowned for his devotional and erotic padams dedicated to the god Krishna, which are central to South Indian classical music and dance traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db38013081908037d23843dccad7 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794318fb08190a9a89570b2a6999b completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:30 p.m.