Triple
T12236764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A12 autoroute |
E291614
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
A12
A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
|
E970816
|
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: A12 | Statement: [A12 autoroute, roadNumber, A12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A12 Context triple: [A12 autoroute, roadNumber, A12]
-
A.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
B.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
-
C.
A13
A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
-
D.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
E.
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.
- 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: A12 Triple: [A12 autoroute, roadNumber, A12]
Generated description
A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A12 Target entity description: A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
-
A.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
B.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
-
C.
A13
A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
-
D.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
E.
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.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb2892c81909a97b3ad6ec2c21b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab19a4c8190b4692d7ab0d02a12 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bdd8d508190813178ff4c77afcf |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c67c680819087630d190d0a008f |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:51 p.m.