Triple

T18458603
Position Surface form Disambiguated ID Type / Status
Subject Yesün Temür E450970 entity
Predicate eraName P2938 FINISHED
Object Taiding 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: Taiding | Statement: [Yesün Temür, eraName, Taiding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiding
Context triple: [Yesün Temür, eraName, Taiding]
  • A. Taidingdi chosen
    Taidingdi is the posthumous temple name given to the Yuan dynasty emperor Yesün Temür in Chinese imperial historiography.
  • B. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • C. Taikse
    Taikse is a small village located in Järva County in central Estonia.
  • D. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • E. Tai Yai
    Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:31 a.m.