Triple
T14700152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costessey |
E345273
|
entity |
| Predicate | hasNearbyRoad |
P11435
|
FINISHED |
| Object |
A1074
The A1074 is a regional road in Norfolk, England, serving as a key route into and around the Norwich area, including the vicinity of Costessey.
|
E1114551
|
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: A1074 | Statement: [Costessey, hasNearbyRoad, A1074]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1074 Context triple: [Costessey, hasNearbyRoad, A1074]
-
A.
A104
A104, also called the Francilienne, is a major ring road project intended to encircle the Île-de-France region around Paris and relieve congestion on existing orbital routes.
-
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
A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
-
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.
A10
A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
- 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: A1074 Triple: [Costessey, hasNearbyRoad, A1074]
Generated description
The A1074 is a regional road in Norfolk, England, serving as a key route into and around the Norwich area, including the vicinity of Costessey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A1074 Target entity description: The A1074 is a regional road in Norfolk, England, serving as a key route into and around the Norwich area, including the vicinity of Costessey.
-
A.
A104
A104, also called the Francilienne, is a major ring road project intended to encircle the Île-de-France region around Paris and relieve congestion on existing orbital routes.
-
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
A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
-
D.
A10
A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
-
E.
A10
A10 is a major Italian motorway, also known as the Autostrada dei Fiori, connecting Genoa to the French border along the Ligurian coast.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde191ef6081908434db8d89ad38cb |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde7d0d5208190a3ce1e414c08a017 |
completed | May 8, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde8fb5dd481908aa1334fd9d18bb5 |
completed | May 8, 2026, 1:45 p.m. |
Created at: April 10, 2026, 1:28 a.m.