Triple

T6749596
Position Surface form Disambiguated ID Type / Status
Subject Avignon – Provence Airport E154308 entity
Predicate ICAOcode P419 FINISHED
Object LFMV
LFMV is the ICAO airport code for Avignon – Provence Airport in southeastern France.
E615843 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: LFMV | Statement: [Avignon – Provence Airport, ICAOcode, LFMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFMV
Context triple: [Avignon – Provence Airport, ICAOcode, LFMV]
  • A. LFML
    LFML is the ICAO airport code for Marseille Provence Airport, a major international airport serving the city of Marseille and the Provence region in southern France.
  • B. LFMN
    LFMN is the ICAO airport code for Nice Côte d’Azur Airport, a major international airport serving Nice and the French Riviera in southeastern France.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • E. LFMK
    LFMK is the ICAO airport code for Carcassonne Airport in southern France, which serves the city of Carcassonne and the surrounding Occitanie region.
  • 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: LFMV
Triple: [Avignon – Provence Airport, ICAOcode, LFMV]
Generated description
LFMV is the ICAO airport code for Avignon – Provence Airport in southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LFMV
Target entity description: LFMV is the ICAO airport code for Avignon – Provence Airport in southeastern France.
  • A. LFML
    LFML is the ICAO airport code for Marseille Provence Airport, a major international airport serving the city of Marseille and the Provence region in southern France.
  • B. LFMN
    LFMN is the ICAO airport code for Nice Côte d’Azur Airport, a major international airport serving Nice and the French Riviera in southeastern France.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • E. LFMK
    LFMK is the ICAO airport code for Carcassonne Airport in southern France, which serves the city of Carcassonne and the surrounding Occitanie region.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d8bfa48190a7fc48102258ae17 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c334a90819084bb0b25bbc112cc completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70d0fcbc08190b3a7d0de3c634a5f completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:11 p.m.