Triple
T8360567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A64 road (section) |
E196995
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
A64
The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
|
E728962
|
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: A64 | Statement: [A64 road (section), roadNumber, A64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A64 Context triple: [A64 road (section), roadNumber, A64]
-
A.
A60
A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
-
B.
A635
A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
-
C.
A66
A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
-
D.
A62
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
-
E.
A6
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
- 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: A64 Triple: [A64 road (section), roadNumber, A64]
Generated description
The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A64 Target entity description: The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
-
A.
A60
A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
-
B.
A635
A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
-
C.
A66
A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
-
D.
A62
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
-
E.
A6
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80728eb081909bae6aae45848fab |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc775a548819090c83d916b352f41 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc872cc081909c75b3fb08b03e3f |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd15b53748190966a94b7e8c04880 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 6 p.m.