Triple
T1691584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Europa |
E36560
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
UX
UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
|
E190990
|
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: UX | Statement: [Air Europa, IATAcode, UX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UX Context triple: [Air Europa, IATAcode, UX]
-
A.
Designit
Designit is a global strategic design and innovation consultancy known for helping organizations create user-centered products, services, and experiences.
-
B.
UIKit
UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
-
C.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
Design Research Unit
Design Research Unit was a pioneering British multidisciplinary design consultancy known for shaping modern corporate identities and public-sector branding in the mid-20th century.
- 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: UX Triple: [Air Europa, IATAcode, UX]
Generated description
UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UX Target entity description: UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
-
A.
Designit
Designit is a global strategic design and innovation consultancy known for helping organizations create user-centered products, services, and experiences.
-
B.
UIKit
UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
-
C.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
Design Research Unit
Design Research Unit was a pioneering British multidisciplinary design consultancy known for shaping modern corporate identities and public-sector branding in the mid-20th century.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6298fa748190acabb9f1d42bd3f5 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79947c908190b807205bd44c3254 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:29 p.m.