Triple
T22284341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzhou University |
E550818
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FZU |
—
|
NE NERFINISHED |
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: FZU | Statement: [Fuzhou University, shortName, FZU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FZU Context triple: [Fuzhou University, shortName, FZU]
-
A.
ZJUT
ZJUT is a major public university in Hangzhou, China, known for its strong engineering, science, and technology programs.
-
B.
ZZU
ZZU is the commonly used abbreviation for Zhengzhou University, a major comprehensive public university located in Zhengzhou, Henan Province, China.
-
C.
Fuzhou University
chosen
Fuzhou University is a comprehensive public university in Fuzhou, Fujian Province, China, known for its strengths in engineering, applied sciences, and regional industry collaboration.
-
D.
CQUPT
CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
-
E.
SDNU
SDNU is the commonly used abbreviation for Shandong Normal University, a major teacher-training and comprehensive university located in Shandong Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15605a8448190906a0ab9ffa4260b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.