Triple

T17547468
Position Surface form Disambiguated ID Type / Status
Subject Aurland–Fagernes road E427365 entity
Predicate roadNumber P1864 FINISHED
Object E16
E16 is a major European route that runs across parts of Norway and Sweden, connecting key inland and coastal regions.
 E1275673 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: E16 | Statement: [Aurland–Fagernes road, roadNumber, E16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E16
Context triple: [Aurland–Fagernes road, roadNumber, E16]
  • A. E163
    E163 is a New York City Fire Department engine company that provides firefighting and emergency response services within its assigned area.
  • B. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • C. E18
    E18 is an airport departure gate located within Concourse E.
  • D. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • E. E14
    E14 is a European route designation for a major transnational road within the international E-road network.
  • 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: E16
Triple: [Aurland–Fagernes road, roadNumber, E16]
Generated description
E16 is a major European route that runs across parts of Norway and Sweden, connecting key inland and coastal regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E16
Target entity description: E16 is a major European route that runs across parts of Norway and Sweden, connecting key inland and coastal regions.
  • A. E163
    E163 is a New York City Fire Department engine company that provides firefighting and emergency response services within its assigned area.
  • B. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • C. E18
    E18 is an airport departure gate located within Concourse E.
  • D. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • E. E14
    E14 is an airport departure gate located within Concourse E.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d28f01588190b608e9e8c6c63635 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d39bf344819096a89179137e22ab completed May 11, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a01d48da4b0819094d4e32847b97345 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:49 a.m.