Triple
T4046774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss motorway network |
E84083
|
entity |
| Predicate | hasRoute |
P4374
|
FINISHED |
| Object |
A13
A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
|
E410781
|
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: A13 | Statement: [Swiss motorway network, hasRoute, A13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A13 Context triple: [Swiss motorway network, hasRoute, A13]
-
A.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
B.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
C.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
-
D.
A14
A14 is a major trunk road in England that forms a key east–west freight and commuter route linking the Midlands to the East Coast ports.
-
E.
A130
The A130 is a major road in Essex, England, linking towns such as Basildon with other key routes in the regional highway network.
- 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: A13 Triple: [Swiss motorway network, hasRoute, A13]
Generated description
A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A13 Target entity description: A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
-
A.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
B.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
C.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
-
D.
A14
A14 is a major trunk road in England that forms a key east–west freight and commuter route linking the Midlands to the East Coast ports.
-
E.
A130
The A130 is a major road in Essex, England, linking towns such as Basildon with other key routes in the regional highway 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629c312c8190b89af732e2ad0fa3 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637cd5b881909a930ecb33eed991 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b564603b4881909e80970aa21e3db4 |
completed | March 14, 2026, 1:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.