Triple

T2122484
Position Surface form Disambiguated ID Type / Status
Subject Voies navigables de France E43956 entity
Predicate shortName P43 FINISHED
Object VNF
VNF is the French public agency responsible for managing and developing the country’s inland waterways network.
 E235960 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: VNF | Statement: [Voies navigables de France, shortName, VNF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VNF
Context triple: [Voies navigables de France, shortName, VNF]
  • A. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • B. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • C. V4
    V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
  • D. OVS
    OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
  • E. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • 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: VNF
Triple: [Voies navigables de France, shortName, VNF]
Generated description
VNF is the French public agency responsible for managing and developing the country’s inland waterways network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VNF
Target entity description: VNF is the French public agency responsible for managing and developing the country’s inland waterways network.
  • A. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • B. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • C. V4
    V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
  • D. OVS
    OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
  • E. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb51e8088190a1aeafee4e8dff63 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51999ca08190a726040df6825ba5 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae5209ae40819095e02cafb8112a1f completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae529375788190aead19ec0874f11e completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:44 p.m.