Triple
T10885862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute A10 |
E257042
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object |
A10
A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
|
E890592
|
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: A10 | Statement: [Autoroute A10, routeNumber, A10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A10 Context triple: [Autoroute A10, routeNumber, A10]
-
A.
A10
A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
-
B.
A10
A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
-
C.
A10
The A10 is a major road in England that runs from London northwards through Hertfordshire and Cambridgeshire, forming a key route between the capital and East Anglia.
-
D.
A10
A10 is a major orbital motorway encircling Amsterdam in the Netherlands, connecting various national highways and providing primary access to the city.
-
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: A10 Triple: [Autoroute A10, routeNumber, A10]
Generated description
A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A10 Target entity description: A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
-
A.
A10
The A10 is a major road in England that runs from London northwards through Hertfordshire and Cambridgeshire, forming a key route between the capital and East Anglia.
-
B.
A10
A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
-
C.
A10
A10 is a major orbital motorway encircling Amsterdam in the Netherlands, connecting various national highways and providing primary access to the city.
-
D.
A10
A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
-
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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dd6a3c81909965ef774e8b7309 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ecf1c48190aef0d31ef03d1f88 |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e002709d38819099c4402d30824612 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e005873ba48190b8c24c77611562fa |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.