Triple
T11365142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNI Air |
E269183
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
UIA
UIA is the ICAO airline designator assigned to UNI Air, a Taiwanese regional airline.
|
E921591
|
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: UIA | Statement: [UNI Air, ICAOCode, UIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UIA Context triple: [UNI Air, ICAOCode, UIA]
-
A.
UIF
UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
-
B.
WAI
WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
-
C.
UIT
UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
-
D.
UIII
UIII is the ICAO airport code for Irkutsk International Airport, a major airport serving the city of Irkutsk in eastern Siberia, Russia.
-
E.
UIP
UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
- 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: UIA Triple: [UNI Air, ICAOCode, UIA]
Generated description
UIA is the ICAO airline designator assigned to UNI Air, a Taiwanese regional airline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UIA Target entity description: UIA is the ICAO airline designator assigned to UNI Air, a Taiwanese regional airline.
-
A.
UIF
UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
-
B.
WAI
WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
-
C.
UIT
UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
-
D.
UIII
UIII is the ICAO airport code for Irkutsk International Airport, a major airport serving the city of Irkutsk in eastern Siberia, Russia.
-
E.
UIP
UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea4589908190948a8225768e1eec |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55667d4908190b6290135eba41e54 |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562c6e7c8819098d22a6e0daa4a51 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a472f0c819086c1cccaa5ca0ae7 |
completed | April 19, 2026, 11:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.