Triple
T15912322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam Karimov Tashkent International Airport |
E385878
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
UTTT
UTTT is the ICAO airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
|
E1182593
|
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: UTTT | Statement: [Islam Karimov Tashkent International Airport, ICAOcode, UTTT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTTT Context triple: [Islam Karimov Tashkent International Airport, ICAOcode, UTTT]
-
A.
UTT
UTT is a French engineering and technology-focused university located in Troyes, known for its programs in industrial systems, computer science, and innovation.
-
B.
Utt
Utt is a surname most notably associated with American film producer Kenneth Utt, known for his work on acclaimed movies such as "The Silence of the Lambs."
-
C.
UTU
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
-
D.
UGTT
UGTT is Tunisia’s main national trade union federation, historically influential in labor rights advocacy and the country’s political and social movements.
-
E.
TU
TU is the international vehicle registration code assigned to Tunisia.
- 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: UTTT Triple: [Islam Karimov Tashkent International Airport, ICAOcode, UTTT]
Generated description
UTTT is the ICAO airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UTTT Target entity description: UTTT is the ICAO airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
-
A.
UTT
UTT is a French engineering and technology-focused university located in Troyes, known for its programs in industrial systems, computer science, and innovation.
-
B.
Utt
Utt is a surname most notably associated with American film producer Kenneth Utt, known for his work on acclaimed movies such as "The Silence of the Lambs."
-
C.
UTU
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
-
D.
UGTT
UGTT is Tunisia’s main national trade union federation, historically influential in labor rights advocacy and the country’s political and social movements.
-
E.
TU
TU is the international vehicle registration code assigned to Tunisia.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0592b5c8190a4597644864a6bcb |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0ef7f3081908744a759bb3e4e8c |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1dbd7d08190b84ae201e0866139 |
completed | May 9, 2026, 10:14 p.m. |
Created at: April 10, 2026, 4:52 a.m.