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.