Triple
T301403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi |
E6204
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Đông Kinh |
E48177
|
NE FINISHED |
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: Đông Kinh | Statement: [Hanoi, formerName, Đông Kinh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Đông Kinh Context triple: [Hanoi, formerName, Đông Kinh]
-
A.
Đông Đô
chosen
Đông Đô was a historical name for the city now known as Hanoi, which has long served as a major political and cultural center of Vietnam.
-
B.
Nanjing
Nanjing is a major city in eastern China, historically significant as a former national capital and cultural center, and now an important political, economic, and educational hub on the Yangtze River.
-
C.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
-
D.
Wuhan
Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
-
E.
Shenyang
Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe8dde4c8190bd897e5251eb6941 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.