Triple
T3048038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BYD Auto |
E83495
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
XPeng
XPeng is a Chinese electric vehicle manufacturer known for its smart, tech-focused cars and advanced driver-assistance systems.
|
E323035
|
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: XPeng | Statement: [BYD Auto, competitor, XPeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XPeng Context triple: [BYD Auto, competitor, XPeng]
-
A.
BYD Auto
BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
-
B.
Zoomlion
Zoomlion is a major Chinese manufacturer of construction machinery and sanitation equipment, known as one of the largest heavy equipment companies in China.
-
C.
Baojun
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
-
D.
Wuling Hongguang
The Wuling Hongguang is a hugely popular Chinese compact MPV/minivan known for its low cost, practicality, and widespread use as both a family and commercial vehicle.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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: XPeng Triple: [BYD Auto, competitor, XPeng]
Generated description
XPeng is a Chinese electric vehicle manufacturer known for its smart, tech-focused cars and advanced driver-assistance systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XPeng Target entity description: XPeng is a Chinese electric vehicle manufacturer known for its smart, tech-focused cars and advanced driver-assistance systems.
-
A.
BYD Auto
BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
-
B.
Zoomlion
Zoomlion is a major Chinese manufacturer of construction machinery and sanitation equipment, known as one of the largest heavy equipment companies in China.
-
C.
Baojun
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
-
D.
Wuling Hongguang
The Wuling Hongguang is a hugely popular Chinese compact MPV/minivan known for its low cost, practicality, and widespread use as both a family and commercial vehicle.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9baed3848190a8351d9c8c4edc79 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eef7d1e081908535b7d972a147eb |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1f0ad56dc81909c96018e34345fda |
completed | March 11, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f13a34c88190aa829d8d87a5d29b |
completed | March 11, 2026, 10:48 p.m. |
Created at: March 8, 2026, 3:01 p.m.