Triple

T15846004
Position Surface form Disambiguated ID Type / Status
Subject Yu Shu Lien E384214 entity
Predicate affiliation P10 FINISHED
Object Wudang E35121 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: Wudang | Statement: [Yu Shu Lien, affiliation, Wudang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wudang
Context triple: [Yu Shu Lien, affiliation, Wudang]
  • A. Wudang Mountains chosen
    The Wudang Mountains are a renowned Taoist sacred mountain range in central China, famous for its ancient temples, monasteries, and as a historic center of internal martial arts such as Tai Chi.
  • B. Taiping Dao
    Taiping Dao is the largest naturally occurring island in the Spratly Islands of the South China Sea, administered by Taiwan and strategically significant in regional maritime disputes.
  • C. Wujing
    Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
  • D. Sīfǎ Yuàn
    Sīfǎ Yuàn is the Mandarin Chinese term for the Judicial Yuan, the highest judicial organ of the government in Taiwan (Republic of China).
  • E. Luoxing Dao
    Luoxing Dao is a small, scenic island in China known for its coastal views and tranquil natural environment.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.