Triple

T23233853
Position Surface form Disambiguated ID Type / Status
Subject Connecting Europe Facility E581232 entity
Predicate hasComponent P35 FINISHED
Object CEF Digital
CEF Digital is the digital pillar of the EU’s Connecting Europe Facility, funding and supporting cross-border digital infrastructure and services to enhance connectivity and interoperability across Europe.
E1576260 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: CEF Digital | Statement: [Connecting Europe Facility, hasComponent, CEF Digital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEF Digital
Context triple: [Connecting Europe Facility, hasComponent, CEF Digital]
  • A. CEF
    CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
  • B. CEF
    CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
  • C. CEF
    CEF is the National Rail station code for Chapel-en-le-Frith railway station in Derbyshire, England.
  • D. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • E. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • 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: CEF Digital
Triple: [Connecting Europe Facility, hasComponent, CEF Digital]
Generated description
CEF Digital is the digital pillar of the EU’s Connecting Europe Facility, funding and supporting cross-border digital infrastructure and services to enhance connectivity and interoperability across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CEF Digital
Target entity description: CEF Digital is the digital pillar of the EU’s Connecting Europe Facility, funding and supporting cross-border digital infrastructure and services to enhance connectivity and interoperability across Europe.
  • A. CEF
    CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
  • B. CEF
    CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
  • C. CEF
    CEF is the National Rail station code for Chapel-en-le-Frith railway station in Derbyshire, England.
  • D. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • E. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e7bed88190b914b238c5f49860 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f59de808190afb414450ac32d0d completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4008c4a881908ad49e733b549036 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:09 p.m.