Triple
T22135360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knutsford railway station |
E547011
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
KNF
KNF is the National Rail station code for Knutsford railway station in Cheshire, England.
|
E1519232
|
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: KNF | Statement: [Knutsford railway station, stationCode, KNF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNF Context triple: [Knutsford railway station, stationCode, KNF]
-
A.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
B.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
C.
CKN
CKN is the National Rail station code for Crewkerne railway station in Somerset, England.
-
D.
KN
KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
-
E.
KN
KN is the vehicle registration code assigned to the city of Konstanz and its surrounding district in the German 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: KNF Triple: [Knutsford railway station, stationCode, KNF]
Generated description
KNF is the National Rail station code for Knutsford railway station in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNF Target entity description: KNF is the National Rail station code for Knutsford railway station in Cheshire, England.
-
A.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
B.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
C.
CKN
CKN is the National Rail station code for Crewkerne railway station in Somerset, England.
-
D.
KN
KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
-
E.
KN
KN is the vehicle registration code assigned to the city of Konstanz and its surrounding district in the German 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b9ee54819081141c4f28e1211a |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f2d07348190acfd0f68c4e61145 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a8fe7f5508190895539cadb71b826 |
completed | May 18, 2026, 4:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a90813ad081908451eafee75ac058 |
completed | May 18, 2026, 4:07 a.m. |
Created at: April 16, 2026, 8:32 p.m.