Triple

T9576872
Position Surface form Disambiguated ID Type / Status
Subject Taihoku-shū E231066 entity
Predicate namedAfter P63 FINISHED
Object Taihoku E32628 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: Taihoku | Statement: [Taihoku-shū, namedAfter, Taihoku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taihoku
Context triple: [Taihoku-shū, namedAfter, Taihoku]
  • A. Taihoku chosen
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • B. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ac17a48190bb8448394f22b1e9 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3734e5e688190bbfa472547ef65e8 completed April 18, 2026, 12:04 p.m.
Created at: March 30, 2026, 8:05 p.m.