Triple
T20363643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feng-tien |
E496849
|
entity |
| Predicate | nameVariantOf |
P39
|
FINISHED |
| Object | Mukden |
—
|
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: Mukden | Statement: [Feng-tien, nameVariantOf, Mukden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukden Context triple: [Feng-tien, nameVariantOf, Mukden]
-
A.
Shenyang
chosen
Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
-
B.
Lüshun (Port Arthur)
Lüshun (Port Arthur) is a strategically important port town at the southern tip of the Liaodong Peninsula in northeastern China, historically known for its role in the First Sino-Japanese and Russo-Japanese Wars.
-
C.
Dajing
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
-
D.
Benxi
Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
-
E.
Liaoyuan
Liaoyuan is a prefecture-level city in northeastern China known for its coal mining history and location in the central part of Jilin Province.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786fd0088190908187ab642344cc |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.