Triple

T6711455
Position Surface form Disambiguated ID Type / Status
Subject Tigalari script E153152 entity
Predicate usedIn P98 FINISHED
Object Tulu Nadu E492799 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: Tulu Nadu | Statement: [Tigalari script, usedIn, Tulu Nadu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulu Nadu
Context triple: [Tigalari script, usedIn, Tulu Nadu]
  • A. Tulu Nadu chosen
    Tulu Nadu is a coastal region in southwestern India, primarily in present-day Karnataka and Kerala, known for its distinct Tulu language, culture, and historical traditions.
  • B. 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.
  • C. Tondai Nadu
    Tondai Nadu is a historic region in northern Tamil Nadu, India, traditionally centered around the ancient city of Kanchipuram and known for its rich cultural and political heritage.
  • D. 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.
  • E. Kerala
    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.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700924fdc8190990187fbc1b3ab20 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.