Triple
T25349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors |
E506
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Baojun
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
|
E4516
|
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: Baojun | Statement: [General Motors, brand, Baojun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baojun Context triple: [General Motors, brand, Baojun]
-
A.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
B.
Chevrolet Bolt EV
The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Saab Automobile
Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
- 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: Baojun Triple: [General Motors, brand, Baojun]
Generated description
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baojun Target entity description: Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
-
A.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
B.
Chevrolet Bolt EV
The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Saab Automobile
Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2481f9eac819093d9a950eb1ab109 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2552d92ec8190a523fb8d05b98bb2 |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a255cc192c8190b2c0aa68ac97ad1f |
completed | Feb. 28, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256a191bc8190a0cb3151ece43e13 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.