Triple
T21785490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maastricht Aachen Airport |
E537824
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | MST |
—
|
NE NERFINISHED |
How this triple was built (2 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: MST | Statement: [Maastricht Aachen Airport, IATA code, MST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MST Context triple: [Maastricht Aachen Airport, IATA code, MST]
-
A.
MST
MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
-
B.
MST
chosen
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
-
C.
MST
MST is the station code for Morisset railway station, a regional train stop on the Main Northern line in New South Wales, Australia.
-
D.
MST
MST is the station code for Misterios station, a stop on the Mexico City Metro system.
-
E.
MCST
MCST is the abbreviated name for South Korea’s Ministry of Culture, Sports and Tourism, the government body responsible for cultural policy, sports promotion, and tourism development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.