Triple

T17951401
Position Surface form Disambiguated ID Type / Status
Subject Kashyapa E448838 entity
Predicate consortOf P2932 FINISHED
Object Diti 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: Diti | Statement: [Kashyapa, consortOf, Diti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diti
Context triple: [Kashyapa, consortOf, Diti]
  • A. Diti chosen
    Diti is a figure in Hindu mythology known as the mother of the Daityas (a race of powerful demons) and a consort of the sage Kashyapa.
  • B. Loutro
    Loutro is a small, secluded coastal village on the south coast of Crete, Greece, known for its tranquil atmosphere, clear turquoise waters, and access only by boat or on foot.
  • C. Parailia
    Parailia is a genus of small African freshwater catfishes known for their slender, often translucent bodies and schooling behavior.
  • D. Ἡλιαία
    Ἡλιαία was the principal popular court of classical Athens, composed of large citizen juries and central to the city’s democratic legal system.
  • E. Diois
    Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afac95048190a5d1ef012899c62b completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.