Triple

T13998575
Position Surface form Disambiguated ID Type / Status
Subject veena E336763 entity
Predicate culturalRegion P1968 FINISHED
Object Kerala E34853 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: Kerala | Statement: [veena, culturalRegion, Kerala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerala
Context triple: [veena, 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 (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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb81b208190a961e49a02fa4140 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc3201af48190a1746abbf080187d completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.