Triple

T9800986
Position Surface form Disambiguated ID Type / Status
Subject A4 E237835 entity
Predicate hasEuropeanRouteDesignation P65888 FINISHED
Object E50
E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
 E822155 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: E50 | Statement: [A4, hasEuropeanRouteDesignation, E50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E50
Context triple: [A4, hasEuropeanRouteDesignation, E50]
  • A. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • B. E53
    E53 is the internal BMW designation for the first-generation BMW X5 mid-size luxury SUV produced from 1999 to 2006.
  • C. E35
    E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
  • D. 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.
  • E. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • 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: E50
Triple: [A4, hasEuropeanRouteDesignation, E50]
Generated description
E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E50
Target entity description: E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
  • A. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • B. E53
    E53 is the internal BMW designation for the first-generation BMW X5 mid-size luxury SUV produced from 1999 to 2006.
  • C. E35
    E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
  • D. 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.
  • E. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:29 p.m.