Triple
T12488347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulyanovsk Vostochny Airport |
E298494
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ULY
ULY is the IATA airport code for Ulyanovsk Vostochny Airport, a major cargo and passenger airport serving the Ulyanovsk region in Russia.
|
E986292
|
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: ULY | Statement: [Ulyanovsk Vostochny Airport, IATAcode, ULY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ULY Context triple: [Ulyanovsk Vostochny Airport, IATAcode, ULY]
-
A.
YUL
YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
-
B.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
C.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
- 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: ULY Triple: [Ulyanovsk Vostochny Airport, IATAcode, ULY]
Generated description
ULY is the IATA airport code for Ulyanovsk Vostochny Airport, a major cargo and passenger airport serving the Ulyanovsk region in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ULY Target entity description: ULY is the IATA airport code for Ulyanovsk Vostochny Airport, a major cargo and passenger airport serving the Ulyanovsk region in Russia.
-
A.
YUL
YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
-
B.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
C.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba7d8bc8190acc1f0d537a5bbbb |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d668e548190979b3da72fe21ae7 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.