Triple
T10693145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiming Lake |
E252060
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object | 未名湖 |
E252060
|
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: 未名湖 | Statement: [Weiming Lake, ChineseName, 未名湖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 未名湖 Context triple: [Weiming Lake, ChineseName, 未名湖]
-
A.
北秀湖
北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
-
B.
Xuanwu Lake
Xuanwu Lake is a historic scenic lake and public park in Nanjing, China, renowned for its islands, temples, and views of the surrounding city.
-
C.
Weiming Lake
chosen
Weiming Lake is a scenic, historically significant lake located at the heart of Peking University’s campus in Beijing, renowned as a symbol of the university’s cultural and academic life.
-
D.
颐和园
颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
-
E.
天安门
天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988ad741c8190b9ae962e0c5bc272 |
completed | April 10, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:11 p.m.