Triple
T22540701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bianliang |
E557280
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Dongjing |
—
|
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: Dongjing | Statement: [Bianliang, alsoKnownAs, Dongjing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongjing Context triple: [Bianliang, alsoKnownAs, Dongjing]
-
A.
Dongjing
chosen
Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
-
B.
Qujing
Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
-
C.
Dajing
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
-
D.
Yanjing
Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
-
E.
Baidi City
Baidi City is an ancient fortress and historical town in Fengjie County, Chongqing, China, famed as a cultural landmark overlooking the Yangtze River and associated with classic Chinese poetry and the Three Gorges region.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.