Triple
T10325336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen ID.4 |
E242747
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object |
Anting, China
Anting, China is an automotive manufacturing hub in Shanghai, best known for its large Volkswagen and SAIC-Volkswagen production facilities.
|
E855441
|
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: Anting, China | Statement: [Volkswagen ID.4, assemblyLocation, Anting, China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anting, China Context triple: [Volkswagen ID.4, assemblyLocation, Anting, China]
-
A.
Hsiangcheng, China
Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
-
B.
Pir Chinasi
Pir Chinasi is a popular hilltop shrine and scenic viewpoint near Muzaffarabad in Azad Kashmir, Pakistan, known for its panoramic mountain vistas and religious significance.
-
C.
Canton, China
Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
D.
Chiny
Chiny is a small municipality in the Belgian province of Luxembourg, known for its scenic forests and river landscapes in the Semois valley.
-
E.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
- 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: Anting, China Triple: [Volkswagen ID.4, assemblyLocation, Anting, China]
Generated description
Anting, China is an automotive manufacturing hub in Shanghai, best known for its large Volkswagen and SAIC-Volkswagen production facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anting, China Target entity description: Anting, China is an automotive manufacturing hub in Shanghai, best known for its large Volkswagen and SAIC-Volkswagen production facilities.
-
A.
Hsiangcheng, China
Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
-
B.
Pir Chinasi
Pir Chinasi is a popular hilltop shrine and scenic viewpoint near Muzaffarabad in Azad Kashmir, Pakistan, known for its panoramic mountain vistas and religious significance.
-
C.
Canton, China
Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
D.
Chiny
Chiny is a small municipality in the Belgian province of Luxembourg, known for its scenic forests and river landscapes in the Semois valley.
-
E.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d731887d2081908e6b4e33d400582f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329189708190bbd21bd40ec029b0 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:51 a.m.