Triple

T19814712
Position Surface form Disambiguated ID Type / Status
Subject Alvar devotional tradition E476030 entity
Predicate hasSaint P8397 FINISHED
Object Nammalvar 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: Nammalvar | Statement: [Alvar devotional tradition, hasSaint, Nammalvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nammalvar
Context triple: [Alvar devotional tradition, hasSaint, Nammalvar]
  • A. Nammalvar chosen
    Nammalvar was a revered Tamil Vaishnavite saint and poet whose devotional hymns form a central part of the Divya Prabandham in Sri Vaishnavism.
  • B. Annamalaiyar
    Annamalaiyar is a form of the Hindu god Shiva venerated as the presiding deity of the sacred hill-temple complex at Tiruvannamalai in Tamil Nadu, India.
  • C. Vallunaraju
    Vallunaraju is a popular glaciated mountain in Peru’s Cordillera Blanca, frequently climbed as an accessible acclimatization peak for Andean mountaineering.
  • D. Kothandaramar
    Kothandaramar is a revered form of the Hindu god Rama, typically depicted holding a bow and associated with devotion, righteousness, and temple worship in South India.
  • E. Kailasam
    Kailasam is the given name of renowned Indian filmmaker and playwright K. Balachander, a major figure in Tamil cinema and theatre.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f6495c81908e7eea359a60e40f completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.