Triple
T14206141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Britain A and B road numbering scheme |
E352098
|
entity |
| Predicate | zoneBoundaryRoad |
P24205
|
FINISHED |
| Object |
A9
The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
|
E1086692
|
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: A9 | Statement: [Great Britain A and B road numbering scheme, zoneBoundaryRoad, A9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A9 Context triple: [Great Britain A and B road numbering scheme, zoneBoundaryRoad, A9]
-
A.
A9
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
-
B.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
C.
A90
A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
-
D.
A91
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
-
E.
A96
The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
- 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: A9 Triple: [Great Britain A and B road numbering scheme, zoneBoundaryRoad, A9]
Generated description
The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A9 Target entity description: The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
-
A.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
B.
A9
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
-
C.
A90
A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
-
D.
A91
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
-
E.
A96
The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd195301e88190a5ef034253275fb0 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ee00db08190adffce0381aaab94 |
completed | May 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd231ab1dc81908e542c47bed9ada7 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 10, 2026, 1:05 a.m.