Triple
T9972173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koltsovo International Airport |
E196233
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
USSS
USSS is the ICAO airport code for Koltsovo International Airport, a major airport serving Yekaterinburg, Russia.
|
E832271
|
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: USSS | Statement: [Koltsovo International Airport, ICAOcode, USSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USSS Context triple: [Koltsovo International Airport, ICAOcode, USSS]
-
A.
USSS
USSS is the abbreviation for the United States Secret Service, a federal law enforcement agency responsible for protecting national leaders and safeguarding the nation’s financial infrastructure.
-
B.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
C.
UCSO
UCSO is the abbreviation for the Uniformed Capabilities Support Office, a U.S. Department of Defense organization that coordinates and supports capability development for uniformed services.
-
D.
WSSS
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
-
E.
USSF-67
USSF-67 is a classified U.S. Space Force national security mission launched aboard a SpaceX Falcon Heavy rocket.
- 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: USSS Triple: [Koltsovo International Airport, ICAOcode, USSS]
Generated description
USSS is the ICAO airport code for Koltsovo International Airport, a major airport serving Yekaterinburg, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USSS Target entity description: USSS is the ICAO airport code for Koltsovo International Airport, a major airport serving Yekaterinburg, Russia.
-
A.
USSS
USSS is the abbreviation for the United States Secret Service, a federal law enforcement agency responsible for protecting national leaders and safeguarding the nation’s financial infrastructure.
-
B.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
C.
UCSO
UCSO is the abbreviation for the Uniformed Capabilities Support Office, a U.S. Department of Defense organization that coordinates and supports capability development for uniformed services.
-
D.
WSSS
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
-
E.
USSF-67
USSF-67 is a classified U.S. Space Force national security mission launched aboard a SpaceX Falcon Heavy rocket.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dd3e47c819095fef68b9939ec19 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23eb2971c8190bcdbc31b4ef19816 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d240d7b7e881909183d7c33bd8cb5b |
completed | April 5, 2026, 11 a.m. |
Created at: March 30, 2026, 8:48 p.m.