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.