Triple

T3768348
Position Surface form Disambiguated ID Type / Status
Subject La Flèche Wallonne E82735 entity
Predicate typicalFinishLocation P47075 FINISHED
Object Huy E295665 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: Huy | Statement: [La Flèche Wallonne, typicalFinishLocation, Huy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huy
Context triple: [La Flèche Wallonne, typicalFinishLocation, Huy]
  • A. Huy chosen
    Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
  • B. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • C. Hien
    Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
  • D. Yunghui
    Yunghui was the final era name of the Korean Empire, marking its last years before annexation by Japan in the early 20th century.
  • E. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2d4b848190bf63fb3ed5d3b2d9 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5251d2481909f692937271a8013 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.