Triple

T11673693
Position Surface form Disambiguated ID Type / Status
Subject Gateless Gate E277438 entity
Predicate hasInfluentialTranslation P100709 FINISHED
Object English translations by various Zen teachers LITERAL FINISHED

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: English translations by various Zen teachers | Statement: [Gateless Gate, hasInfluentialTranslation, English translations by various Zen teachers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfluentialTranslation
Context triple: [Gateless Gate, hasInfluentialTranslation, English translations by various Zen teachers]
  • A. hasTranslation
    Indicates that one entity is a translation or translated version of another entity in a different language.
  • B. hasTranslated
    Indicates that one entity has rendered the content of another entity from one language into a different language.
  • C. hasTraditionalTranslation
    Indicates that one entity serves as the established or customary translation of another entity in a traditional or historically accepted sense.
  • D. hasWorkTranslatedInto
    Indicates that a work has been translated into a specified language or target work.
  • E. hasTranslationNote
    Indicates that there is an explanatory note about how something has been translated, such as clarifying wording choices, alternatives, or translation issues.
  • F. None of above. chosen

Provenance (4 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69d88a77e6e88190b7519100bde76575 completed April 10, 2026, 5:28 a.m.
PDg Predicate description generation batch_69d8938a1f8c81908ffb049fa5fee5a7 completed April 10, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:40 p.m.