Triple

T18733255
Position Surface form Disambiguated ID Type / Status
Subject Venlo E458091 entity
Predicate hasHighway P385 FINISHED
Object A73
A73 is a major Dutch motorway in the southeastern Netherlands that connects key cities and facilitates regional and cross-border traffic.
 E1340543 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: A73 | Statement: [Venlo, hasHighway, A73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A73
Context triple: [Venlo, hasHighway, A73]
  • A. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • B. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • C. A70
    The A70 is a major road in Scotland that connects Edinburgh with Ayr, passing through several towns and rural areas along its route.
  • D. A7
    A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
  • E. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • 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: A73
Triple: [Venlo, hasHighway, A73]
Generated description
A73 is a major Dutch motorway in the southeastern Netherlands that connects key cities and facilitates regional and cross-border traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A73
Target entity description: A73 is a major Dutch motorway in the southeastern Netherlands that connects key cities and facilitates regional and cross-border traffic.
  • A. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • B. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • C. A70
    The A70 is a major road in Scotland that connects Edinburgh with Ayr, passing through several towns and rural areas along its route.
  • D. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • E. A7
    A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
  • 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.