Triple
T2046428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A470 road |
E45462
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object |
A470
A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
|
E230242
|
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: A470 | Statement: [A470 road, routeNumber, A470]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A470 Context triple: [A470 road, routeNumber, A470]
-
A.
A46
A46 is a major trunk road in England that runs from Bath in the southwest to Cleethorpes on the east coast, connecting several key cities and regions.
-
B.
A40
A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
-
C.
A44
A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
-
D.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
E.
S47
S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
- 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: A470 Triple: [A470 road, routeNumber, A470]
Generated description
A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A470 Target entity description: A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
-
A.
A46
A46 is a major trunk road in England that runs from Bath in the southwest to Cleethorpes on the east coast, connecting several key cities and regions.
-
B.
A40
A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
-
C.
A44
A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
-
D.
A7
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
-
E.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb973a51881908c2c1e633daa3cb4 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae200125f081909ab40b6a04adaa25 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae242933288190ad1f2c9f4ce1e968 |
completed | March 9, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae248a2b8481908fa4b0c000971d11 |
completed | March 9, 2026, 1:38 a.m. |
Created at: March 4, 2026, 7:39 p.m.