Triple

T21053698
Position Surface form Disambiguated ID Type / Status
Subject Ngulu language E518652 entity
Predicate hasAlternateName P39 FINISHED
Object Kingu 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: Kingu | Statement: [Ngulu language, hasAlternateName, Kingu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingu
Context triple: [Ngulu language, hasAlternateName, Kingu]
  • A. Kingu chosen
    Kingu is a figure in Babylonian mythology, a consort of the goddess Tiamat who is granted the Tablet of Destinies and whose blood is used to create humankind in the Enuma Elish creation epic.
  • B. Kingo
    Kingo is an Eternal who lives on Earth as a charismatic Bollywood movie star while secretly using his cosmic powers to protect humanity.
  • C. Kingo
    Kingo is a Japanese given name most notably borne by Tatsuno Kingo, a prominent architect of Japan’s Meiji era.
  • D. Kadaka
    Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • E. Roi
    Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.