Triple

T11681419
Position Surface form Disambiguated ID Type / Status
Subject Huang Hua E277623 entity
Predicate educatedAt P5 FINISHED
Object Yenching University E50963 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: Yenching University | Statement: [Huang Hua, educatedAt, Yenching University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yenching University
Context triple: [Huang Hua, educatedAt, Yenching University]
  • A. West China Union University
    West China Union University was a prominent Christian missionary-founded higher education institution in Chengdu that later became part of Sichuan University.
  • B. Peiyang University
    Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
  • C. Peking University chosen
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • D. Soochow University
    Soochow University is a major comprehensive research university in Suzhou, China, known for its strong programs in humanities, social sciences, and engineering.
  • E. Beijing Normal University
    Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280acab488190b1a912dc0e82bc44 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:40 p.m.