Triple
T17273494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turku Airport |
E419324
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EFTU
EFTU is the ICAO airport code for Turku Airport, a regional international airport serving the city of Turku in southwestern Finland.
|
E1260362
|
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: EFTU | Statement: [Turku Airport, ICAOcode, EFTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFTU Context triple: [Turku Airport, ICAOcode, EFTU]
-
A.
EFTI
EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
-
B.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
C.
ETU
ETU is the commonly used abbreviation for Erzurum Technical University, a public higher education institution located in Erzurum, Turkey.
-
D.
ETAF
ETAF is the acronym for the Ethiopian Air Force, the aerial warfare branch of Ethiopia’s military responsible for air defense and support operations.
-
E.
IFTU
IFTU is the commonly used abbreviation for the International Federation of Trade Unions, a historic global organization that coordinated and represented national trade union movements.
- 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: EFTU Triple: [Turku Airport, ICAOcode, EFTU]
Generated description
EFTU is the ICAO airport code for Turku Airport, a regional international airport serving the city of Turku in southwestern Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EFTU Target entity description: EFTU is the ICAO airport code for Turku Airport, a regional international airport serving the city of Turku in southwestern Finland.
-
A.
EFTI
EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
-
B.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
C.
ETU
ETU is the commonly used abbreviation for Erzurum Technical University, a public higher education institution located in Erzurum, Turkey.
-
D.
ETAF
ETAF is the acronym for the Ethiopian Air Force, the aerial warfare branch of Ethiopia’s military responsible for air defense and support operations.
-
E.
IFTU
IFTU is the commonly used abbreviation for the International Federation of Trade Unions, a historic global organization that coordinated and represented national trade union movements.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4c209c81909c713ed78f2cb19a |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794d605481908b5e430c3142c203 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017b2642f8819084b339ea27ae1f84 |
completed | May 11, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017c0e82c08190a37a36af68550c19 |
completed | May 11, 2026, 6:49 a.m. |
Created at: April 10, 2026, 5:40 a.m.