Triple
T15498366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tieling |
E378881
|
entity |
| Predicate | hasCountyLevelCity |
P27799
|
FINISHED |
| Object |
Diaobingshan
Diaobingshan is a county-level city in northeastern China's Liaoning Province, administered by the prefecture-level city of Tieling.
|
E1160068
|
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: Diaobingshan | Statement: [Tieling, hasCountyLevelCity, Diaobingshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diaobingshan Context triple: [Tieling, hasCountyLevelCity, Diaobingshan]
-
A.
Xuedou Mountain
Xuedou Mountain is a scenic and historically significant mountain area in Zhejiang Province, China, known for its Buddhist temples, waterfalls, and natural beauty.
-
B.
Wutong Mountain
Wutong Mountain is a prominent scenic peak in Shenzhen, China, known for its hiking trails, lush forests, and panoramic views over the city and coastline.
-
C.
Yunlong Mountain
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
-
D.
Liushi Shan
Liushi Shan is a prominent high-altitude peak in western China, recognized as the highest summit in the Kunlun Mountains range.
-
E.
Mount Xiaogaitou
Mount Xiaogaitou is a prominent peak in China’s Longmen Mountains range, noted as its loftiest summit.
- 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: Diaobingshan Triple: [Tieling, hasCountyLevelCity, Diaobingshan]
Generated description
Diaobingshan is a county-level city in northeastern China's Liaoning Province, administered by the prefecture-level city of Tieling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diaobingshan Target entity description: Diaobingshan is a county-level city in northeastern China's Liaoning Province, administered by the prefecture-level city of Tieling.
-
A.
Xuedou Mountain
Xuedou Mountain is a scenic and historically significant mountain area in Zhejiang Province, China, known for its Buddhist temples, waterfalls, and natural beauty.
-
B.
Wutong Mountain
Wutong Mountain is a prominent scenic peak in Shenzhen, China, known for its hiking trails, lush forests, and panoramic views over the city and coastline.
-
C.
Yunlong Mountain
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
-
D.
Liushi Shan
Liushi Shan is a prominent high-altitude peak in western China, recognized as the highest summit in the Kunlun Mountains range.
-
E.
Mount Xiaogaitou
Mount Xiaogaitou is a prominent peak in China’s Longmen Mountains range, noted as its loftiest summit.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3667a53c81908be789f99e580265 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff3744ba8c81909989864ba107b93b |
completed | May 9, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37ee94b081909309062b2d30ede5 |
completed | May 9, 2026, 1:34 p.m. |
Created at: April 10, 2026, 3:53 a.m.