Triple

T6543055
Position Surface form Disambiguated ID Type / Status
Subject Y Yen District E168336 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Lien Bang E604294 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: Lien Bang | Statement: [Y Yen District, hasAdministrativeCenter, Lien Bang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lien Bang
Context triple: [Y Yen District, hasAdministrativeCenter, Lien Bang]
  • A. Lien Bang chosen
    Lien Bang is a township that serves as the administrative and political center of Y Yen District in Vietnam.
  • B. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • C. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • E. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6adeb54d88190a3199f9a517d7232 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41d09488190bda71118c299fd31 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.