Triple
T4848659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高錕 |
E108355
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | 伦敦大学学院 |
E33866
|
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: 伦敦大学学院 | Statement: [高錕, educatedAt, 伦敦大学学院]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 伦敦大学学院 Context triple: [高錕, educatedAt, 伦敦大学学院]
-
A.
University College London
chosen
University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
-
B.
King’s College London
King’s College London is a major public research university in London, England, renowned for its contributions to fields such as medicine, law, and the humanities.
-
C.
University of London
The University of London is a major federal public research university in the United Kingdom, comprising multiple autonomous colleges and renowned for its global academic influence.
-
D.
Imperial College London
Imperial College London is a leading public research university in London renowned for its strengths in science, engineering, medicine, and business.
-
E.
帝国大学
帝国大学は、明治期から戦前期の日本において国家主導で設置された最高学府群であり、学術研究とエリート養成の中枢を担った大学制度上の区分である。
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1c5594819094fe021d7717032d |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cdafb3481908594ae883c6e9872 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.