Triple
T11233064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberdeen International Airport |
E265874
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ABZ
ABZ is the three-letter IATA airport code for Aberdeen International Airport in Aberdeen, Scotland.
|
E913011
|
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: ABZ | Statement: [Aberdeen International Airport, IATAcode, ABZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABZ Context triple: [Aberdeen International Airport, IATAcode, ABZ]
-
A.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
B.
ABY
ABY is the station code for Albury railway station, a key regional rail hub in New South Wales, Australia.
-
C.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
D.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
E.
BZA
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
- 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: ABZ Triple: [Aberdeen International Airport, IATAcode, ABZ]
Generated description
ABZ is the three-letter IATA airport code for Aberdeen International Airport in Aberdeen, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABZ Target entity description: ABZ is the three-letter IATA airport code for Aberdeen International Airport in Aberdeen, Scotland.
-
A.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
B.
ABY
ABY is the station code for Albury railway station, a key regional rail hub in New South Wales, Australia.
-
C.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
D.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
E.
BZA
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e903b8ec81909f9c89776d35c650 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad56013481909f931505824e3b42 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12dd658819085c25d3edac2d66c |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b3d23b18819096f3a11aecc732bd |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 8, 2026, 9:30 p.m.