Triple

T10379403
Position Surface form Disambiguated ID Type / Status
Subject A10 motorway E244594 entity
Predicate connectsTo P845 FINISHED
Object E22
E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
 E859394 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: E22 | Statement: [A10 motorway, connectsTo, E22]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E22
Context triple: [A10 motorway, connectsTo, E22]
  • A. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • B. E 220 d
    The E 220 d is a diesel-powered variant of the Mercedes-Benz E-Class executive sedan, known for its balance of efficiency, comfort, and refined performance.
  • C. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • D. E-2A
    E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
  • E. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • 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: E22
Triple: [A10 motorway, connectsTo, E22]
Generated description
E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E22
Target entity description: E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • A. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • B. E 220 d
    The E 220 d is a diesel-powered variant of the Mercedes-Benz E-Class executive sedan, known for its balance of efficiency, comfort, and refined performance.
  • C. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • D. E-2A
    E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
  • E. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d79784baa481909e57adda27578cc2 completed April 9, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69d7989f8dfc8190b1fe4429f7bb0283 completed April 9, 2026, 12:16 p.m.
Created at: April 6, 2026, 12:03 p.m.