Triple
T2708643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuzhou |
E59803
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Yunlong Mountain
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
|
E290950
|
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: Yunlong Mountain | Statement: [Xuzhou, hasLandmark, Yunlong Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yunlong Mountain Context triple: [Xuzhou, hasLandmark, Yunlong Mountain]
-
A.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
-
B.
Yangmingshan
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
-
C.
Qixing Mountain
Qixing Mountain is a prominent volcanic peak in northern Taiwan known for its scenic hiking trails and panoramic views over Taipei.
-
D.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
-
E.
Tianzhu Peak
Tianzhu Peak is the tallest summit of China’s Wudang Mountains, a range famed for its Taoist temples and martial arts heritage.
- 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: Yunlong Mountain Triple: [Xuzhou, hasLandmark, Yunlong Mountain]
Generated description
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yunlong Mountain Target entity description: Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
-
A.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
-
B.
Yangmingshan
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
-
C.
Qixing Mountain
Qixing Mountain is a prominent volcanic peak in northern Taiwan known for its scenic hiking trails and panoramic views over Taipei.
-
D.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
-
E.
Tianzhu Peak
Tianzhu Peak is the tallest summit of China’s Wudang Mountains, a range famed for its Taoist temples and martial arts heritage.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7542548190bbf6c947145f7f63 |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf7f99508190acfd00baec64b7e9 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb02d8ff08190af2224c03b762c68 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0ae71888190ab0675b7897f1589 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.