Triple

T2407766
Position Surface form Disambiguated ID Type / Status
Subject Directorate-General for Mobility and Transport E50315 entity
Predicate shortName P43 FINISHED
Object DG MOVE
DG MOVE is the European Commission department responsible for developing and implementing EU policies on transport and mobility across all modes.
 E262408 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: DG MOVE | Statement: [Directorate-General for Mobility and Transport, shortName, DG MOVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DG MOVE
Context triple: [Directorate-General for Mobility and Transport, shortName, DG MOVE]
  • A. DG JUST
    DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. Muevelo
    Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
  • D. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • E. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • 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: DG MOVE
Triple: [Directorate-General for Mobility and Transport, shortName, DG MOVE]
Generated description
DG MOVE is the European Commission department responsible for developing and implementing EU policies on transport and mobility across all modes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DG MOVE
Target entity description: DG MOVE is the European Commission department responsible for developing and implementing EU policies on transport and mobility across all modes.
  • A. DG JUST
    DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. Muevelo
    Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
  • D. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • E. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc92408308190ad2d331ebee71d15 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3eba9d08190a2c63e590e08b4df completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb4a5e9c481908426fe51343a1342 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb52bec1881909c589aea2af3684c completed March 9, 2026, 11:55 a.m.
Created at: March 4, 2026, 7:58 p.m.