Triple
T14404687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogan railway station |
E357165
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
CGN
CGN is the National Rail station code for Cogan railway station in the Vale of Glamorgan, Wales.
|
E1097538
|
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: CGN | Statement: [Cogan railway station, stationCode, CGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGN Context triple: [Cogan railway station, stationCode, CGN]
-
A.
CGN
CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
-
B.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
-
C.
CN-GS
CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
-
D.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
E.
CnaG
CnaG is the Irish-language abbreviation for Cumann na nGaedheal, the pro-Treaty political party that governed the Irish Free State in the 1920s.
- 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: CGN Triple: [Cogan railway station, stationCode, CGN]
Generated description
CGN is the National Rail station code for Cogan railway station in the Vale of Glamorgan, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGN Target entity description: CGN is the National Rail station code for Cogan railway station in the Vale of Glamorgan, Wales.
-
A.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
-
B.
CGN
CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
-
C.
CN-GS
CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
-
D.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
E.
CnaG
CnaG is the Irish-language abbreviation for Cumann na nGaedheal, the pro-Treaty political party that governed the Irish Free State in the 1920s.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5523267081908d972b60b6039528 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671e4688190ab1b7a7ed6c0cfb8 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 10, 2026, 1:17 a.m.