Triple

T18562490
Position Surface form Disambiguated ID Type / Status
Subject Sesha Vahana E453679 entity
Predicate culturalRegion P1968 FINISHED
Object Kerala 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: Kerala | Statement: [Sesha Vahana, culturalRegion, Kerala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerala
Context triple: [Sesha Vahana, culturalRegion, Kerala]
  • A. Kerala chosen
    Kerala is a coastal state in southwestern India known for its backwaters, high literacy rate, distinctive Malayalam culture, and strong traditions in art, Ayurveda, and religious diversity.
  • B. Kochi, Kerala
    Kochi, Kerala is a major port city on India’s southwest coast known for its historic spice trade, multicultural heritage, and role as a commercial and cultural hub of the state.
  • C. Tamil Nadu
    Tamil Nadu is a state in southern India known for its rich Dravidian cultural heritage, classical arts, and major urban centers like Chennai.
  • D. Karnataka
    Karnataka is a state in southwestern India known for its diverse languages and cultures, major tech hub Bengaluru, and rich historical and architectural heritage.
  • E. Karnataka and Kerala
    Karnataka and Kerala are neighboring states in southern India known for their distinct cultures, languages, and landscapes ranging from coastal plains to the Western Ghats.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.