Triple
T5658932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maastricht Aachen Airport |
E124687
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
MST
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
|
E537823
|
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: MST | Statement: [Maastricht Aachen Airport, IATAcode, MST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MST Context triple: [Maastricht Aachen Airport, IATAcode, MST]
-
A.
MTC
MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
-
B.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
C.
MAST
MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
-
D.
MSS
MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
-
E.
MSP
MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
- 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: MST Triple: [Maastricht Aachen Airport, IATAcode, MST]
Generated description
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MST Target entity description: MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
-
A.
MTC
MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
-
B.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
C.
MAST
MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
-
D.
MSS
MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
-
E.
MSP
MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022fd9b148190bd4aa9c43500949f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da37ffc819095f33e7e66e7c1d0 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edf30448190a60eda49b8b031a0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb62690819083327781cb857ccc |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.