Triple

T18733254
Position Surface form Disambiguated ID Type / Status
Subject Venlo E458091 entity
Predicate hasHighway P385 FINISHED
Object A67
A67 is a major Dutch motorway that serves as an important east–west route in the southern Netherlands, connecting cities such as Eindhoven and Venlo and linking to the German border.
 E1340542 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: A67 | Statement: [Venlo, hasHighway, A67]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A67
Context triple: [Venlo, hasHighway, A67]
  • A. A676
    The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
  • B. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • C. A607
    A607 is a primary A-road in England that runs between Leicester and Grantham, serving as an important regional route through the East Midlands.
  • D. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • E. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • 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: A67
Triple: [Venlo, hasHighway, A67]
Generated description
A67 is a major Dutch motorway that serves as an important east–west route in the southern Netherlands, connecting cities such as Eindhoven and Venlo and linking to the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A67
Target entity description: A67 is a major Dutch motorway that serves as an important east–west route in the southern Netherlands, connecting cities such as Eindhoven and Venlo and linking to the German border.
  • A. A676
    The A676 is a road in North West England that passes through Edenfield and connects several towns in the Greater Manchester and Lancashire area.
  • B. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • C. A607
    A607 is a primary A-road in England that runs between Leicester and Grantham, serving as an important regional route through the East Midlands.
  • D. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • E. A6
    A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d791ab88190b333503f9b1ad0c0 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05325dbcc08190b289e2c7a6175509 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05344331fc81908d85322432c18ebe completed May 14, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a053548c4248190833a6e57de308c83 completed May 14, 2026, 2:36 a.m.
Created at: April 10, 2026, 11:51 a.m.