Triple

T18163504
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A61 E434827 entity
Predicate routeNumber P1864 FINISHED
Object A61
A61 is a major German autobahn that runs roughly north–south through western Germany, serving as an important alternative route to the heavily trafficked A3 corridor.
 E1309386 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: A61 | Statement: [Autobahn A61, routeNumber, A61]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A61
Context triple: [Autobahn A61, routeNumber, A61]
  • A. A616
    A616 is a primary road in England that runs through Nottinghamshire and South Yorkshire, linking several towns and major routes in the region.
  • B. A6187
    The A6187 is a main road in the Peak District of England that connects several villages and provides access to the area around Castleton.
  • C. A614
    The A614 is a major road in England that serves as an important regional route connecting several towns and intersecting with key highways.
  • 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: A61
Triple: [Autobahn A61, routeNumber, A61]
Generated description
A61 is a major German autobahn that runs roughly north–south through western Germany, serving as an important alternative route to the heavily trafficked A3 corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A61
Target entity description: A61 is a major German autobahn that runs roughly north–south through western Germany, serving as an important alternative route to the heavily trafficked A3 corridor.
  • A. A616
    A616 is a primary road in England that runs through Nottinghamshire and South Yorkshire, linking several towns and major routes in the region.
  • B. A6187
    The A6187 is a main road in the Peak District of England that connects several villages and provides access to the area around Castleton.
  • C. A614
    The A614 is a major road in England that serves as an important regional route connecting several towns and intersecting with key highways.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec419788190a999a68f32fab39b completed April 19, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc25f248190a9ac02acf968069f completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03908bd80081909f993408c7d2c96b completed May 12, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0390ebaed08190aea8a646e07cb1c4 completed May 12, 2026, 8:43 p.m.
Created at: April 10, 2026, 10:30 a.m.