Triple
T831820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M23 motorway |
E17981
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object |
M23
M23 is a major motorway in South East England connecting London to Gatwick Airport and the Brighton area via the M25 and A23.
|
E97997
|
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: M23 | Statement: [M23 motorway, routeNumber, M23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M23 Context triple: [M23 motorway, routeNumber, M23]
-
A.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
B.
M-22
M-22 is a scenic state highway in Michigan renowned for its picturesque route along the Lake Michigan shoreline and through the Leelanau Peninsula near Traverse City.
-
C.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
D.
M62
M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
-
E.
M-28
M-28 is a major east–west state highway running across Michigan’s Upper Peninsula, connecting numerous communities along the southern shore of Lake Superior.
- 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: M23 Triple: [M23 motorway, routeNumber, M23]
Generated description
M23 is a major motorway in South East England connecting London to Gatwick Airport and the Brighton area via the M25 and A23.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M23 Target entity description: M23 is a major motorway in South East England connecting London to Gatwick Airport and the Brighton area via the M25 and A23.
-
A.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
B.
M-22
M-22 is a scenic state highway in Michigan renowned for its picturesque route along the Lake Michigan shoreline and through the Leelanau Peninsula near Traverse City.
-
C.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
D.
M62
M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
-
E.
M-28
M-28 is a major east–west state highway running across Michigan’s Upper Peninsula, connecting numerous communities along the southern shore of Lake Superior.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a7799f87f08190ad393ce92c938030 |
completed | March 4, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77a2ef9d08190abc60490b4409d79 |
completed | March 4, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:38 p.m.