Triple
T9912714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beixiu Lake |
E185784
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object |
北秀湖
北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
|
E829387
|
NE FINISHED |
How this triple was built (4 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: 北秀湖 | Statement: [Beixiu Lake, hasNameInChinese, 北秀湖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北秀湖 Context triple: [Beixiu Lake, hasNameInChinese, 北秀湖]
-
A.
East Lake Moshan Botanical Garden
East Lake Moshan Botanical Garden is a scenic botanical garden in Wuhan known for its diverse plant collections, seasonal flower displays, and lakeside landscapes within the East Lake area.
-
B.
Xingyun Lake
Xingyun Lake is a plateau freshwater lake in Yuxi, Yunnan Province, China, known for its scenic beauty and ecological significance.
-
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.
大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
-
E.
Weiming Lake
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 北秀湖 Triple: [Beixiu Lake, hasNameInChinese, 北秀湖]
Generated description
北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 北秀湖 Target entity description: 北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
-
A.
East Lake Moshan Botanical Garden
East Lake Moshan Botanical Garden is a scenic botanical garden in Wuhan known for its diverse plant collections, seasonal flower displays, and lakeside landscapes within the East Lake area.
-
B.
Xingyun Lake
Xingyun Lake is a plateau freshwater lake in Yuxi, Yunnan Province, China, known for its scenic beauty and ecological significance.
-
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.
大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
-
E.
Weiming Lake
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.
- F. None of above. chosen
Provenance (5 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:41 p.m.