Triple

T15942897
Position Surface form Disambiguated ID Type / Status
Subject Shah Jo Risalo E386609 entity
Predicate hasPart P35 FINISHED
Object Sur Yaman Kalyan E1184712 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: Sur Yaman Kalyan | Statement: [Shah Jo Risalo, hasPart, Sur Yaman Kalyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sur Yaman Kalyan
Context triple: [Shah Jo Risalo, hasPart, Sur Yaman Kalyan]
  • A. Sur Kalyan chosen
    Sur Kalyan is one of the melodic chapters (surs) of Shah Abdul Latif Bhittai’s revered Sindhi poetic compendium Shah Jo Risalo, traditionally sung and recited in Sufi devotional contexts.
  • B. Kanaiyalal
    Kanaiyalal is the given name of K. M. Munshi, a prominent Indian independence activist, politician, and writer who founded Bharatiya Vidya Bhavan.
  • C. Manjai Kunda
    Manjai Kunda is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • D. Kundadri
    Kundadri is a hill and Jain pilgrimage site in Karnataka, India, known for its ancient Jain temple, scenic Western Ghats views, and popularity as a trekking and sunrise viewpoint.
  • E. Yaganti
    Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cefe948190af40eac92983edbc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.