Triple
T14833706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouagadougou Airport |
E348773
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
OUA
OUA is the IATA airport code for Ouagadougou’s main international airport in Burkina Faso.
|
E1122085
|
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: OUA | Statement: [Ouagadougou Airport, IATAcode, OUA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OUA Context triple: [Ouagadougou Airport, IATAcode, OUA]
-
A.
OUA
OUA is the regional governing body that oversees university varsity sports and athletic competitions in Ontario, Canada.
-
B.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
C.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
D.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
E.
OAC
OAC is the Amtrak station code for the Oakland Coliseum station serving rail passengers in Oakland, California.
- 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: OUA Triple: [Ouagadougou Airport, IATAcode, OUA]
Generated description
OUA is the IATA airport code for Ouagadougou’s main international airport in Burkina Faso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OUA Target entity description: OUA is the IATA airport code for Ouagadougou’s main international airport in Burkina Faso.
-
A.
OUA
OUA is the regional governing body that oversees university varsity sports and athletic competitions in Ontario, Canada.
-
B.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
C.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
D.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
E.
OAC
OAC is the Amtrak station code for the Oakland Coliseum station serving rail passengers in Oakland, California.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded075af0881908fb35a9e7ee46749 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a5d8888190821988ad00351d05 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3c99aae48190be6a4bd5914217f3 |
completed | May 8, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3d0122bc8190baa8c694ade8cc26 |
completed | May 8, 2026, 7:44 p.m. |
Created at: April 10, 2026, 1:52 a.m.