Triple
T13219012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowra Airport |
E314698
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
CWT
CWT is the IATA airport code for Cowra Airport, a regional airport serving the town of Cowra in New South Wales, Australia.
|
E1028423
|
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: CWT | Statement: [Cowra Airport, IATACode, CWT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CWT Context triple: [Cowra Airport, IATACode, CWT]
-
A.
Daubechies wavelets
Daubechies wavelets are a family of compactly supported orthogonal wavelets widely used in signal processing and image compression for their efficient time-frequency localization.
-
B.
CWB
CWB is the IATA airport code for Curitiba-Afonso Pena International Airport, the main air gateway serving Curitiba in southern Brazil.
-
C.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
-
D.
CWI
CWI is the Netherlands' national research institute for mathematics and computer science, known for its pioneering contributions to theoretical and applied informatics.
-
E.
2 CFFTS
2 CFFTS is a Royal Canadian Air Force training unit responsible for providing pilot and aircrew flying instruction in Canada.
- 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: CWT Triple: [Cowra Airport, IATACode, CWT]
Generated description
CWT is the IATA airport code for Cowra Airport, a regional airport serving the town of Cowra in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CWT Target entity description: CWT is the IATA airport code for Cowra Airport, a regional airport serving the town of Cowra in New South Wales, Australia.
-
A.
Daubechies wavelets
Daubechies wavelets are a family of compactly supported orthogonal wavelets widely used in signal processing and image compression for their efficient time-frequency localization.
-
B.
CWB
CWB is the IATA airport code for Curitiba-Afonso Pena International Airport, the main air gateway serving Curitiba in southern Brazil.
-
C.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
-
D.
CWI
CWI is the Netherlands' national research institute for mathematics and computer science, known for its pioneering contributions to theoretical and applied informatics.
-
E.
2 CFFTS
2 CFFTS is a Royal Canadian Air Force training unit responsible for providing pilot and aircrew flying instruction in Canada.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7036009808190aea595cd542e0cf1 |
completed | May 3, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7040e32a4819083a9f4efe96fd9ca |
completed | May 3, 2026, 8:15 a.m. |
Created at: April 9, 2026, 9:18 p.m.