Triple

T11685033
Position Surface form Disambiguated ID Type / Status
Subject Joban Expressway E277716 entity
Predicate hasRouteNumber P1864 FINISHED
Object E6
E6 is a major expressway route designation in Japan’s national expressway numbering system.
 E940916 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: [Joban Expressway, hasRouteNumber, E6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E6
Context triple: [Joban Expressway, hasRouteNumber, E6]
  • A. E6
    E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
  • B. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • C. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • D. 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.
  • E. B6
    B6 is the second-generation Audi A4, produced in the early 2000s and known for its refined design, improved chassis, and updated technology over its predecessor.
  • 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: [Joban Expressway, hasRouteNumber, E6]
Generated description
E6 is a major expressway route designation in Japan’s national expressway numbering system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E6
Target entity description: E6 is a major expressway route designation in Japan’s national expressway numbering system.
  • A. E6
    E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
  • B. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • C. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • D. 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.
  • E. B6
    B6 is the second-generation Audi A4, produced in the early 2000s and known for its refined design, improved chassis, and updated technology over its predecessor.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.