Triple
T18013547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Bayda |
E430942
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Beida |
—
|
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: Beida | Statement: [Al-Bayda, alternativeName, Beida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beida Context triple: [Al-Bayda, alternativeName, Beida]
-
A.
Beijing Normal University
Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
-
B.
Peking University
chosen
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
C.
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.
-
D.
Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
-
E.
Dà Xué
Dà Xué is the Chinese title of "The Great Learning," a foundational Confucian classic on moral self-cultivation and good governance.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b521befc81908dff44f19aa3d580 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.