Triple

T16964403
Position Surface form Disambiguated ID Type / Status
Subject Vattezhuthu E411506 entity
Predicate usedInRegion P908 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: [Vattezhuthu, usedInRegion, Kerala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerala
Context triple: [Vattezhuthu, usedInRegion, 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc09386c819088bdb2548f3fb5c8 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.