Triple
T12627579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G65 Baotou–Maoming Expressway |
E301554
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
G65
G65 is a major Chinese national expressway running from Baotou in Inner Mongolia to Maoming in Guangdong, connecting northern and southern regions of China.
|
E992421
|
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: G65 | Statement: [G65 Baotou–Maoming Expressway, hasAbbreviation, G65]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G65 Context triple: [G65 Baotou–Maoming Expressway, hasAbbreviation, G65]
-
A.
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
B.
GR 65
GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
-
C.
G26
G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
-
D.
G75
G75 is a major Chinese national expressway route that runs between the cities of Lanzhou and Haikou.
-
E.
G16
G16 is the Tokyo Metro station code assigned to Ueno Station on the Ginza Line.
- 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: G65 Triple: [G65 Baotou–Maoming Expressway, hasAbbreviation, G65]
Generated description
G65 is a major Chinese national expressway running from Baotou in Inner Mongolia to Maoming in Guangdong, connecting northern and southern regions of China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G65 Target entity description: G65 is a major Chinese national expressway running from Baotou in Inner Mongolia to Maoming in Guangdong, connecting northern and southern regions of China.
-
A.
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
B.
GR 65
GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
-
C.
G26
G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
-
D.
G75
G75 is a major Chinese national expressway route that runs between the cities of Lanzhou and Haikou.
-
E.
G16
G16 is the Tokyo Metro station code assigned to Ueno Station on the Ginza Line.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610b91dc8190a9abefb88447b0ae |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edafc7c819088bd641542a32e39 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660bc541c8190a4d1d7a4cc959ecf |
completed | May 2, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6617997188190bfce14c54619af7f |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 9, 2026, 5:14 p.m.