Triple
T8146874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunoshna Airport |
E190232
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
UUDL
UUDL is the ICAO airport code for Tunoshna Airport, a regional airport serving the Yaroslavl area in Russia.
|
E712366
|
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: UUDL | Statement: [Tunoshna Airport, ICAOcode, UUDL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UUDL Context triple: [Tunoshna Airport, ICAOcode, UUDL]
-
A.
UUDD
UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
-
B.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
C.
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.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
UDDF
UDDF (Universal Dive Data Format) is an open, XML-based standard for storing and exchanging scuba dive profile and configuration data between dive computers, software, and logging tools.
- 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: UUDL Triple: [Tunoshna Airport, ICAOcode, UUDL]
Generated description
UUDL is the ICAO airport code for Tunoshna Airport, a regional airport serving the Yaroslavl area in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UUDL Target entity description: UUDL is the ICAO airport code for Tunoshna Airport, a regional airport serving the Yaroslavl area in Russia.
-
A.
UUDD
UUDD is the ICAO airport code for Moscow’s Domodedovo International Airport, one of Russia’s major aviation hubs.
-
B.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
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 New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
UDDF
UDDF (Universal Dive Data Format) is an open, XML-based standard for storing and exchanging scuba dive profile and configuration data between dive computers, software, and logging tools.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447d6b1881908ff3fa25af6b4e80 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b667d88190a0b47c7e0e07f338 |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c228c08190a603c1dff44ff299 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96b02d38819085eb51c1943b3045 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:36 p.m.