Triple

T17939041
Position Surface form Disambiguated ID Type / Status
Subject Vasanta E448539 entity
Predicate associatedDeity P1481 FINISHED
Object Kama 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: Kama | Statement: [Vasanta, associatedDeity, Kama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kama
Context triple: [Vasanta, associatedDeity, Kama]
  • A. Kama
    Kama is a small city located in Japan’s Fukuoka Prefecture on the island of Kyushu.
  • B. Kama
    Kama is a surname of likely West African origin, notably borne by figures such as Senegalese jurist and former International Criminal Tribunal judge Laïty Kama.
  • C. Kama chosen
    Kama is the Hindu god of love, desire, and attraction, often depicted as a youthful archer who inspires romantic and sensual longing.
  • D. Kamari
    Kamari is a popular seaside village on the southeast coast of Santorini, Greece, known for its black-sand beach and tourist-friendly promenade.
  • E. Mataranka
    Mataranka is a small town in Australia's Northern Territory, known for its thermal springs and location near Elsey National Park.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9455fc81908bf595f9ed42c624 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.