Triple

T21163353
Position Surface form Disambiguated ID Type / Status
Subject Sirkazhi Brahmapureeswarar Temple E521494 entity
Predicate mentionedIn P831 FINISHED
Object Tevaram 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: Tevaram | Statement: [Sirkazhi Brahmapureeswarar Temple, mentionedIn, Tevaram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tevaram
Context triple: [Sirkazhi Brahmapureeswarar Temple, mentionedIn, Tevaram]
  • A. Tevaram chosen
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • B. Vidhaata
    Vidhaata is a 1982 Hindi action drama film directed by Subhash Ghai, known for its star-studded cast, popular music, and commercial success in Indian cinema.
  • C. Thammattama
    Thammattama is a traditional Sri Lankan twin-drum percussion instrument, prominently used to accompany Kandyan dance performances.
  • D. Madhai
    Madhai is a popular forest gateway village and tourism hub on the edge of Satpura Tiger Reserve in Madhya Pradesh, India, known for its wildlife safaris and scenic riverfront setting.
  • E. Varalaru
    Varalaru is a 2006 Tamil-language drama film starring Ajith Kumar in a celebrated triple role, noted for its emotional depth and commercial success.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72533fe88819082e14d71c36140be completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.