Triple

T3882399
Position Surface form Disambiguated ID Type / Status
Subject European route E6 E92854 entity
Predicate roadNumber P1864 FINISHED
Object E6
E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
 E394802 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: E6 | Statement: [European route E6, roadNumber, E6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E6
Context triple: [European route E6, roadNumber, E6]
  • A. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • B. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • C. B6
    B6 is the sixth-generation Volkswagen Passat, a mid-size family car produced in the mid-2000s featuring updated styling, technology, and safety compared to its predecessors.
  • D. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. E4
    E4 is a British digital television channel from Channel 4, known for airing popular entertainment, comedy, and drama series aimed primarily at younger audiences.
  • 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: E6
Triple: [European route E6, roadNumber, E6]
Generated description
E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E6
Target entity description: E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
  • A. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • B. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • C. B6
    B6 is the sixth-generation Volkswagen Passat, a mid-size family car produced in the mid-2000s featuring updated styling, technology, and safety compared to its predecessors.
  • D. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. E4
    E4 is a British digital television channel from Channel 4, known for airing popular entertainment, comedy, and drama series aimed primarily at younger audiences.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b513013db481908f8fb5f56470c0d0 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137200a08190bd2a78398e03803e completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:20 p.m.