Triple
T4218066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxor International Airport |
E94269
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LXR
LXR is the three-letter IATA airport code assigned to Luxor International Airport in Egypt.
|
E420973
|
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: LXR | Statement: [Luxor International Airport, IATAcode, LXR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LXR Context triple: [Luxor International Airport, IATAcode, LXR]
-
A.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
B.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
-
C.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
D.
LXS
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
-
E.
XRX
XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
- 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: LXR Triple: [Luxor International Airport, IATAcode, LXR]
Generated description
LXR is the three-letter IATA airport code assigned to Luxor International Airport in Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LXR Target entity description: LXR is the three-letter IATA airport code assigned to Luxor International Airport in Egypt.
-
A.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
B.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
-
C.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
D.
LXS
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
-
E.
XRX
XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963d3bd8819086465701f4c6adf5 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596dbb19c81908080af37ecfe2497 |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5976663d88190a73a729554e91074 |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:04 p.m.