Triple
T15196617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmö Airport |
E363152
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ESMS
ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
|
E1143315
|
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: ESMS | Statement: [Malmö Airport, ICAOcode, ESMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESMS Context triple: [Malmö Airport, ICAOcode, ESMS]
-
A.
ESMX
ESMX is the ICAO airport code for Växjö Småland Airport in southern Sweden.
-
B.
SMSE
SMSE is the Shiley-Marcos School of Engineering, an academic division focused on engineering education and research at the University of San Diego.
-
C.
MES
MES is the former IATA airport code that was used for Polonia International Airport in Medan, Indonesia.
-
D.
EMS
EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
-
E.
EMS
EMS is the vehicle registration code used on license plates for vehicles registered in the district of Rhein-Lahn-Kreis, whose administrative seat is Nassau, in the German state of Rhineland-Palatinate.
- 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: ESMS Triple: [Malmö Airport, ICAOcode, ESMS]
Generated description
ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESMS Target entity description: ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
-
A.
ESMX
ESMX is the ICAO airport code for Växjö Småland Airport in southern Sweden.
-
B.
SMSE
SMSE is the Shiley-Marcos School of Engineering, an academic division focused on engineering education and research at the University of San Diego.
-
C.
MES
MES is the former IATA airport code that was used for Polonia International Airport in Medan, Indonesia.
-
D.
EMS
EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
-
E.
EMS
EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3324fdc8190b31d4d2fcaffc57a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:10 a.m.