Triple
T8006546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G50 Shanghai–Chongqing Expressway |
E186376
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object |
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
|
E701749
|
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: G50 | Statement: [G50 Shanghai–Chongqing Expressway, hasRouteNumber, G50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G50 Context triple: [G50 Shanghai–Chongqing Expressway, hasRouteNumber, G50]
-
A.
S550
S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
-
B.
G75
G75 is a major Chinese national expressway route that runs between the cities of Lanzhou and Haikou.
-
C.
C50
C50 is a popular model of Honda’s Super Cub series of small, fuel-efficient commuter motorcycles, known for their durability and widespread use worldwide.
-
D.
JG 51
JG 51 was a Luftwaffe fighter wing of Nazi Germany during World War II, noted for its extensive operations on the Eastern Front.
-
E.
A500
A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
- 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: G50 Triple: [G50 Shanghai–Chongqing Expressway, hasRouteNumber, G50]
Generated description
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G50 Target entity description: G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
A.
S550
S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
-
B.
G75
G75 is a major Chinese national expressway route that runs between the cities of Lanzhou and Haikou.
-
C.
C50
C50 is a popular model of Honda’s Super Cub series of small, fuel-efficient commuter motorcycles, known for their durability and widespread use worldwide.
-
D.
JG 51
JG 51 was a Luftwaffe fighter wing of Nazi Germany during World War II, noted for its extensive operations on the Eastern Front.
-
E.
A500
A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe12c068c8190a6ea7e924a7748c6 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe442999881909544802bb9a91cd5 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc09c676148190964d4947310ec16a |
completed | March 31, 2026, 5:52 p.m. |
Created at: March 30, 2026, 5:18 p.m.