Triple
T1938629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Son Nhat International Airport |
E41501
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VVTS
VVTS is the ICAO airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
|
E216864
|
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: VVTS | Statement: [Tan Son Nhat International Airport, ICAOcode, VVTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VVTS Context triple: [Tan Son Nhat International Airport, ICAOcode, VVTS]
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
C.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
D.
WOT
WOT is the commonly used abbreviation for Poland’s Territorial Defence Force, a military formation focused on homeland security and support to civil authorities.
-
E.
Vy Tog
Vy Tog is a Norwegian railway company that operates regional and intercity passenger train services, including routes through Oslo Central Station.
- 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: VVTS Triple: [Tan Son Nhat International Airport, ICAOcode, VVTS]
Generated description
VVTS is the ICAO airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VVTS Target entity description: VVTS is the ICAO airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
C.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
D.
WOT
WOT is the commonly used abbreviation for Poland’s Territorial Defence Force, a military formation focused on homeland security and support to civil authorities.
-
E.
Vy Tog
Vy Tog is a Norwegian railway company that operates regional and intercity passenger train services, including routes through Oslo Central Station.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c8be648190836580cec77a143f |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f81e0c819090e3f2154215ff18 |
completed | March 8, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69adf4e94b5081909d4010612d81b917 |
completed | March 8, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf60463d88190896cedb2b45a67ed |
completed | March 8, 2026, 10:19 p.m. |
Created at: March 4, 2026, 7:36 p.m.