Triple
T21607710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingdao dialect |
E533219
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Qingdao hua
Qingdao hua is a regional variety of Mandarin Chinese spoken in the coastal city of Qingdao in Shandong Province.
|
E1493212
|
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: Qingdao hua | Statement: [Qingdao dialect, hasAlternativeName, Qingdao hua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qingdao hua Context triple: [Qingdao dialect, hasAlternativeName, Qingdao hua]
-
A.
Ningbohua
Ningbohua is a Chinese Wu dialect spoken primarily in and around the city of Ningbo in Zhejiang province.
-
B.
Port of Qingdao
The Port of Qingdao is one of the world’s busiest and most important seaports, serving as a major international trade and shipping hub on China’s Yellow Sea coast.
-
C.
Qingquan
Qingquan is a Chinese given name notably borne by the Nationalist general Qiu Qingquan, who served during the Chinese Civil War.
-
D.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
E.
Qinghe
Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
- 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: Qingdao hua Triple: [Qingdao dialect, hasAlternativeName, Qingdao hua]
Generated description
Qingdao hua is a regional variety of Mandarin Chinese spoken in the coastal city of Qingdao in Shandong Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qingdao hua Target entity description: Qingdao hua is a regional variety of Mandarin Chinese spoken in the coastal city of Qingdao in Shandong Province.
-
A.
Ningbohua
Ningbohua is a Chinese Wu dialect spoken primarily in and around the city of Ningbo in Zhejiang province.
-
B.
Port of Qingdao
The Port of Qingdao is one of the world’s busiest and most important seaports, serving as a major international trade and shipping hub on China’s Yellow Sea coast.
-
C.
Qingquan
Qingquan is a Chinese given name notably borne by the Nationalist general Qiu Qingquan, who served during the Chinese Civil War.
-
D.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
E.
Qinghe
Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e6378881908678dc903b8ba6ac |
completed | April 27, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd3b13c881909eb8eee8ad8242be |
completed | May 17, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a09fe7380c881909d17d5ba64f0b19f |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fef4abe48190b6eac6d14aadd110 |
completed | May 17, 2026, 5:46 p.m. |
Created at: April 16, 2026, 6:33 p.m.