Triple
T20492788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 富春江 |
E502787
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | 新安江水库 |
—
|
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: 新安江水库 | Statement: [富春江, hasAttraction, 新安江水库]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 新安江水库 Context triple: [富春江, hasAttraction, 新安江水库]
-
A.
富春江
富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
-
B.
Meishan Reservoir
Meishan Reservoir is a major water storage and flood-control reservoir on China’s Huai River, supporting regional irrigation, water supply, and hydropower.
-
C.
慈湖
慈湖 is a scenic lake in Taiwan known for its tranquil natural surroundings and historical significance as the site of the Cihu Mausoleum of former President Chiang Kai-shek.
-
D.
Xin’anjiang Reservoir
chosen
Xin’anjiang Reservoir is a large artificial lake in eastern China, best known for its role in flood control, hydroelectric power generation, and the creation of the scenic Thousand Island Lake.
-
E.
Gucheng Reservoir
Gucheng Reservoir is a man-made lake in Beijing’s Yanqing District that serves as a key water source and scenic backdrop for the Longqing Gorge area.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.