Triple

T4039849
Position Surface form Disambiguated ID Type / Status
Subject Lyon–Saint-Exupéry Airport E83919 entity
Predicate IATAcode P418 FINISHED
Object LYS
LYS is the IATA airport code for Lyon–Saint-Exupéry Airport, the main international airport serving the Lyon metropolitan area in France.
 E408820 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: LYS | Statement: [Lyon–Saint-Exupéry Airport, IATAcode, LYS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LYS
Context triple: [Lyon–Saint-Exupéry Airport, IATAcode, LYS]
  • A. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • D. LY
    LY is the commonly used abbreviation for Taiwan’s unicameral parliament, the Legislative Yuan.
  • E. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • 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: LYS
Triple: [Lyon–Saint-Exupéry Airport, IATAcode, LYS]
Generated description
LYS is the IATA airport code for Lyon–Saint-Exupéry Airport, the main international airport serving the Lyon metropolitan area in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LYS
Target entity description: LYS is the IATA airport code for Lyon–Saint-Exupéry Airport, the main international airport serving the Lyon metropolitan area in France.
  • A. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • D. LY
    LY is the commonly used abbreviation for Taiwan’s unicameral parliament, the Legislative Yuan.
  • E. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55649b75c819086b272f56ac73be4 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a1974348190b6c8ca74fb9da47e completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a828d7881908e3e9a14bc77103c completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:37 p.m.