Triple

T19754521
Position Surface form Disambiguated ID Type / Status
Subject Kraken E474468 entity
Predicate hasCharacter P2308 FINISHED
Object Wati 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: Wati | Statement: [Kraken, hasCharacter, Wati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wati
Context triple: [Kraken, hasCharacter, Wati]
  • A. Wati chosen
    Wati is an alternative name for the Western Desert language, a large Aboriginal Australian language continuum spoken across parts of Western Australia, South Australia, and the Northern Territory.
  • B. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • C. Pirawa
    Pirawa is a town in the Jhalawar district of Rajasthan, India, serving as one of the region’s key local commercial and administrative centers.
  • D. Wajana
    Wajana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Suriname, French Guiana, and Brazil.
  • E. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.