Triple
T13623166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hutuo River |
E325507
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Xinle City |
E1050762
|
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: Xinle City | Statement: [Hutuo River, flowsThrough, Xinle City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinle City Context triple: [Hutuo River, flowsThrough, Xinle City]
-
A.
Xinle
chosen
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
B.
Huaying City
Huaying City is a county-level city in eastern Sichuan Province, China, administered by Guang’an and known for its hilly terrain and red tourism sites linked to revolutionary history.
-
C.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
D.
Yongcheng
Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
-
E.
Xiande
Xiande was the reign era name used by the Later Zhou dynasty during a period of political consolidation in mid-10th century China.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942e8c9c8190ab843cc4c31f512a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:50 p.m.