Triple
T21644181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooktown Airport |
E534172
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CTN
CTN is the IATA airport code for Cooktown Airport, a regional airport serving the town of Cooktown in Queensland, Australia.
|
E1494369
|
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: CTN | Statement: [Cooktown Airport, IATAcode, CTN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTN Context triple: [Cooktown Airport, IATAcode, CTN]
-
A.
CTN
CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
-
B.
CT1
CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
-
C.
CT1
CT1 is a central Canterbury postcode district in the CT area of southeast England, covering much of the historic city and its immediate surroundings.
-
D.
CTW
CTW, short for Children's Television Workshop, is the American nonprofit organization best known for creating the educational children's television series "Sesame Street."
-
E.
CTW
CTW is the standard abbreviation for the Connecticut Whale, a professional women’s ice hockey team in the Premier Hockey Federation.
- 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: CTN Triple: [Cooktown Airport, IATAcode, CTN]
Generated description
CTN is the IATA airport code for Cooktown Airport, a regional airport serving the town of Cooktown in Queensland, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CTN Target entity description: CTN is the IATA airport code for Cooktown Airport, a regional airport serving the town of Cooktown in Queensland, Australia.
-
A.
CTN
CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
-
B.
CT1
CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
-
C.
CT1
CT1 is a central Canterbury postcode district in the CT area of southeast England, covering much of the historic city and its immediate surroundings.
-
D.
CTW
CTW, short for Children's Television Workshop, is the American nonprofit organization best known for creating the educational children's television series "Sesame Street."
-
E.
CTW
CTW is the standard abbreviation for the Connecticut Whale, a professional women’s ice hockey team in the Premier Hockey Federation.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5393ed388190a0bc385de2b861bf |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0fa44ca88190a8a55c1811edc5a1 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a10c284548190abb5a0075f85ec2c |
completed | May 17, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a119cb17c8190a8732930b78b60cc |
completed | May 17, 2026, 7:06 p.m. |
Created at: April 16, 2026, 6:35 p.m.