Triple

T3776097
Position Surface form Disambiguated ID Type / Status
Subject Seville Airport E83311 entity
Predicate ICAOcode P419 FINISHED
Object LEZL
LEZL is the ICAO airport code for Seville Airport, a major international airport serving the city of Seville in southern Spain.
 E386512 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: LEZL | Statement: [Seville Airport, ICAOcode, LEZL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEZL
Context triple: [Seville Airport, ICAOcode, LEZL]
  • A. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEW
    LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • 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: LEZL
Triple: [Seville Airport, ICAOcode, LEZL]
Generated description
LEZL is the ICAO airport code for Seville Airport, a major international airport serving the city of Seville in southern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEZL
Target entity description: LEZL is the ICAO airport code for Seville Airport, a major international airport serving the city of Seville in southern Spain.
  • A. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEW
    LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e53209888190823412fabacbc914 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e60c23608190977198b6344ff09d completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:36 p.m.