Triple

T8301367
Position Surface form Disambiguated ID Type / Status
Subject Chinese Wikinews E194355 entity
Predicate hasSisterProject P14971 FINISHED
Object Chinese Wikiquote E194346 NE 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: Chinese Wikiquote | Statement: [Chinese Wikinews, hasSisterProject, Chinese Wikiquote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese Wikiquote
Context triple: [Chinese Wikinews, hasSisterProject, Chinese Wikiquote]
  • A. Chinese Wikiquote chosen
    Chinese Wikiquote is the Chinese-language edition of Wikiquote, a free online compendium of sourced quotations from notable people, works, and themes.
  • B. English Wikiquote
    English Wikiquote is the English-language edition of Wikiquote, a free online compendium of sourced quotations from notable people, works, and themes.
  • C. Wikiquote
    Wikiquote is a free, collaboratively edited online compendium of sourced quotations from notable people, books, films, and other creative works.
  • D. Chinese Wikinews
    Chinese Wikinews is the Chinese-language edition of the Wikinews project, offering collaboratively written, free-content news articles.
  • E. French Wikiquote
    French Wikiquote is the French-language edition of Wikiquote, a collaborative online collection of sourced quotations from notable people, works, and themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e891030819097f4a26992a8b469 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68bcb43081909e3a8a00947d03f2 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.