Triple

T8040811
Position Surface form Disambiguated ID Type / Status
Subject After Darkness, Light E187430 entity
Predicate hasTranslationRole P79218 FINISHED
Object English translation of the college motto 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 translation of the college motto | Statement: [After Darkness, Light, hasTranslationRole, English translation of the college motto]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTranslationRole
Context triple: [After Darkness, Light, hasTranslationRole, English translation of the college motto]
  • A. hasTranslation
    Indicates that one entity is a translation or translated version of another entity in a different language.
  • B. hasTransliterationRole chosen
    Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
  • C. hasTranslated
    Indicates that one entity has rendered the content of another entity from one language into a different language.
  • D. hasTranslationNote
    Indicates that there is an explanatory note about how something has been translated, such as clarifying wording choices, alternatives, or translation issues.
  • E. hasTranslatorNationality
    Indicates that the nationality of the translator of a work or text is a specified country or cultural affiliation.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1d62c48190bf4a6cd17517c5dc completed March 31, 2026, 3:27 a.m.
PD Predicate disambiguation batch_69cb049688208190b32088bd2c5930bc completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:23 p.m.