Triple

T26024385
Position Surface form Disambiguated ID Type / Status
Subject High Plain of Heaven E647249 entity
Predicate hasNameInJapaneseScript P28734 FINISHED
Object 高天原 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: 高天原 | Statement: [High Plain of Heaven, hasNameInJapaneseScript, 高天原]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInJapaneseScript
Context triple: [High Plain of Heaven, hasNameInJapaneseScript, 高天原]
  • A. hasNameInJapanese chosen
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • B. hasNameInKanji
    Indicates that an entity is associated with a specific written form of its name in Kanji characters.
  • C. hasOfficialNameInJapanese
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • D. hasJapaneseText
    Indicates that an entity contains or is associated with text written in the Japanese language.
  • E. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • F. None of above.

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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 22, 2026, 9:05 a.m.