Triple

T20345129
Position Surface form Disambiguated ID Type / Status
Subject Moers E495845 entity
Predicate hasHighwayConnection P385 FINISHED
Object A40
The A40 is a major German autobahn running through the Ruhr area and connecting cities such as Moers with the broader regional and national road network.
 E1424990 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: A40 | Statement: [Moers, hasHighwayConnection, A40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A40
Context triple: [Moers, hasHighwayConnection, A40]
  • A. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • B. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • C. A406
    A406 is a major ring road in London, commonly known as part of the North Circular Road, carrying heavy traffic around the northern suburbs of the city.
  • D. A240
    The A240 is a primary road in Surrey, England, connecting Epsom to Kingston upon Thames and serving as a key local commuter route.
  • E. A400
    The A400 is a major central London road that runs through areas including Tottenham Court Road, connecting key parts of the city’s north–south route.
  • 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: A40
Triple: [Moers, hasHighwayConnection, A40]
Generated description
The A40 is a major German autobahn running through the Ruhr area and connecting cities such as Moers with the broader regional and national road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A40
Target entity description: The A40 is a major German autobahn running through the Ruhr area and connecting cities such as Moers with the broader regional and national road network.
  • A. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • B. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • C. A406
    A406 is a major ring road in London, commonly known as part of the North Circular Road, carrying heavy traffic around the northern suburbs of the city.
  • D. A240
    The A240 is a primary road in Surrey, England, connecting Epsom to Kingston upon Thames and serving as a key local commuter route.
  • E. A400
    The A400 is a major central London road that runs through areas including Tottenham Court Road, connecting key parts of the city’s north–south route.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67838744481909069b76b25dd4bb9 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869616b388190a7a2d69c0188f180 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869f7b4208190858fdeae882e008d completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a893f1c81909bc40e3c4db0e147 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:24 a.m.