Triple
T6522050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keynsham railway station |
E151206
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KYN
KYN is the National Rail station code assigned to Keynsham railway station in England.
|
E605994
|
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: KYN | Statement: [Keynsham railway station, hasStationCode, KYN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KYN Context triple: [Keynsham railway station, hasStationCode, KYN]
-
A.
YCNK
YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
-
B.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
C.
KYA
KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
-
D.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
E.
KÜN
KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
- 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: KYN Triple: [Keynsham railway station, hasStationCode, KYN]
Generated description
KYN is the National Rail station code assigned to Keynsham railway station in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KYN Target entity description: KYN is the National Rail station code assigned to Keynsham railway station in England.
-
A.
YCNK
YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
-
B.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
C.
KYA
KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
-
D.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
E.
KÜN
KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5204e78819082bf991c2ece09df |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d830ed6c8190a39126d97a5246d3 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:45 p.m.