Triple

T14859682
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Airport E349455 entity
Predicate ICAOcode P419 FINISHED
Object ELLX
ELLX is the ICAO airport code for Luxembourg’s main international airport, serving as the country’s primary hub for passenger and cargo flights.
E1124178 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: ELLX | Statement: [Luxembourg Airport, ICAOcode, ELLX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ELLX
Context triple: [Luxembourg Airport, ICAOcode, ELLX]
  • A. Elx
    Elx, also known as Elche, is a historic city in Spain’s Valencian Community renowned for its vast palm grove and rich cultural heritage.
  • B. ELE
    ELE is the National Rail station code for Elmers End railway station in south-east London, England.
  • C. HLX
    HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
  • D. XEL
    XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
  • E. ELS
    ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
  • 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: ELLX
Triple: [Luxembourg Airport, ICAOcode, ELLX]
Generated description
ELLX is the ICAO airport code for Luxembourg’s main international airport, serving as the country’s primary hub for passenger and cargo flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ELLX
Target entity description: ELLX is the ICAO airport code for Luxembourg’s main international airport, serving as the country’s primary hub for passenger and cargo flights.
  • A. Elx
    Elx, also known as Elche, is a historic city in Spain’s Valencian Community renowned for its vast palm grove and rich cultural heritage.
  • B. ELE
    ELE is the National Rail station code for Elmers End railway station in south-east London, England.
  • C. HLX
    HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
  • D. XEL
    XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
  • E. ELS
    ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:54 a.m.