Triple
T16386417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alliance Airlines |
E397933
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
UTY
UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
|
E1210313
|
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: UTY | Statement: [Alliance Airlines, ICAOCode, UTY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTY Context triple: [Alliance Airlines, ICAOCode, UTY]
-
A.
UTU
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
-
B.
UTT
UTT is the IATA airport code for Mthatha Airport in Mthatha, South Africa.
-
C.
UTT
UTT is a French engineering and technology-focused university located in Troyes, known for its programs in industrial systems, computer science, and innovation.
-
D.
TYUT
TYUT is the commonly used abbreviation for Taiyuan University of Technology, a major public engineering-focused university in Taiyuan, Shanxi, China.
-
E.
UTAK
UTAK is the ICAO airport code for Balkanabat Airport in Turkmenistan.
- 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: UTY Triple: [Alliance Airlines, ICAOCode, UTY]
Generated description
UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UTY Target entity description: UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
-
A.
UTU
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
-
B.
UTT
UTT is the IATA airport code for Mthatha Airport in Mthatha, South Africa.
-
C.
UTT
UTT is a French engineering and technology-focused university located in Troyes, known for its programs in industrial systems, computer science, and innovation.
-
D.
TYUT
TYUT is the commonly used abbreviation for Taiyuan University of Technology, a major public engineering-focused university in Taiyuan, Shanxi, China.
-
E.
UTAK
UTAK is the ICAO airport code for Balkanabat Airport in Turkmenistan.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356cf44081909133b599cfe9ed4a |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00369391a08190bb5521e2fcc839c6 |
completed | May 10, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00374326948190ae039bc689054387 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.