Triple
T14090916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Tsing Hua University |
E339127
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | National Tsing Hua University (Beijing) |
E339127
|
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: National Tsing Hua University (Beijing) | Statement: [National Tsing Hua University, formerName, National Tsing Hua University (Beijing)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Tsing Hua University (Beijing) Context triple: [National Tsing Hua University, formerName, National Tsing Hua University (Beijing)]
-
A.
Tsinghua University
Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
-
B.
National Tsing Hua University
chosen
National Tsing Hua University is a leading research-intensive university in Taiwan renowned for its strengths in science, engineering, and technology.
-
C.
Beijing Institute of Technology
Beijing Institute of Technology is a leading public research university in Beijing, China, renowned for its strengths in engineering, science, and defense-related technologies.
-
D.
Peking University
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
E.
Harbin Institute of Technology
Harbin Institute of Technology is a leading Chinese research university renowned for its engineering, science, and technology programs and its role in the country's aerospace and defense industries.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15cbbb0819099b84032d65cfdb0 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 9, 2026, 10:21 p.m.