Triple

T5443825
Position Surface form Disambiguated ID Type / Status
Subject European route E20 E122198 entity
Predicate roadNumber P1864 FINISHED
Object 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.
 E521500 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: E20 | Statement: [European route E20, roadNumber, E20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E20
Context triple: [European route E20, roadNumber, E20]
  • A. E 200
    The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
  • B. 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.
  • C. 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.
  • D. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • 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: E20
Triple: [European route E20, roadNumber, E20]
Generated description
E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E20
Target entity description: E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • A. E 200
    The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
  • B. 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.
  • C. 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.
  • D. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41302d588190afa5906d0e3dd891 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf42e2bbe08190be6616a9cab6f9a0 completed March 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69bf4343879881909b26e716d10fbad3 completed March 22, 2026, 1:17 a.m.
Created at: March 20, 2026, 2:07 p.m.