Triple

T13802848
Position Surface form Disambiguated ID Type / Status
Subject Direction des services de la navigation aérienne E331683 entity
Predicate abbreviation P43 FINISHED
Object DSNA
DSNA is the French air navigation service provider responsible for managing and controlling civilian air traffic in France.
 E1062281 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: DSNA | Statement: [Direction des services de la navigation aérienne, abbreviation, DSNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DSNA
Context triple: [Direction des services de la navigation aérienne, abbreviation, DSNA]
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DSA
    DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
  • C. DSA
    DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
  • D. DSA
    DSA (Digital Signature Algorithm) is a widely used public-key cryptographic standard designed for creating and verifying digital signatures to ensure data integrity and authentication.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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: DSNA
Triple: [Direction des services de la navigation aérienne, abbreviation, DSNA]
Generated description
DSNA is the French air navigation service provider responsible for managing and controlling civilian air traffic in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DSNA
Target entity description: DSNA is the French air navigation service provider responsible for managing and controlling civilian air traffic in France.
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DSA
    DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
  • C. DSA
    DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
  • D. DSA
    DSA (Digital Signature Algorithm) is a widely used public-key cryptographic standard designed for creating and verifying digital signatures to ensure data integrity and authentication.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b25c9e5881909d526b38096d6446 completed May 3, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f7b2f1b3848190bc30537d5092ee07 completed May 3, 2026, 8:41 p.m.
Created at: April 9, 2026, 10:12 p.m.