Triple
T18588514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Min Bei |
E454298
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Min Bei Chinese |
—
|
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: Min Bei Chinese | Statement: [Min Bei, hasAlternativeName, Min Bei Chinese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Min Bei Chinese Context triple: [Min Bei, hasAlternativeName, Min Bei Chinese]
-
A.
Min Bei
chosen
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
-
B.
Zhong
Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
-
C.
Biao Min
Biao Min is a Hmong-Mien language spoken by the Biao ethnic group in parts of southern China.
-
D.
Bao Si
Bao Si was a famed beauty of ancient China whose relationship with King You of Zhou is often blamed in legend for contributing to the downfall of the Western Zhou dynasty.
-
E.
Zhong Wen
Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.