Triple
T10830522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luton railway station |
E255605
|
entity |
| Predicate | hasPlatform |
P843
|
FINISHED |
| Object |
Platform 2
Platform 2 is one of the passenger train platforms at Luton railway station in Bedfordshire, England.
|
E886973
|
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: Platform 2 | Statement: [Luton railway station, hasPlatform, Platform 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platform 2 Context triple: [Luton railway station, hasPlatform, Platform 2]
-
A.
Platform 2
Platform 2 is one of the passenger train platforms at Northampton railway station in Northampton, England.
-
B.
Platform 1
Platform 1 is one of the passenger boarding platforms at Castleton railway station in Greater Manchester, England.
-
C.
Platform 1
Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Oxted railway station in Surrey, England.
-
E.
Platform 1
Platform 1 is the primary passenger platform at Henley-on-Thames railway station, serving trains on the Henley branch line in Oxfordshire, England.
- 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: Platform 2 Triple: [Luton railway station, hasPlatform, Platform 2]
Generated description
Platform 2 is one of the passenger train platforms at Luton railway station in Bedfordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Platform 2 Target entity description: Platform 2 is one of the passenger train platforms at Luton railway station in Bedfordshire, England.
-
A.
Platform 2
Platform 2 is one of the passenger train platforms at Northampton railway station in Northampton, England.
-
B.
Platform 1
Platform 1 is one of the passenger boarding platforms at Castleton railway station in Greater Manchester, England.
-
C.
Platform 1
Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Oxted railway station in Surrey, England.
-
E.
Platform 1
Platform 1 is the primary passenger platform at Henley-on-Thames railway station, serving trains on the Henley branch line in Oxfordshire, England.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d744222288819093258b452569acab |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de85a068b08190948c3ca32cdda147 |
completed | April 14, 2026, 6:21 p.m. |
| NEDg | Description generation | batch_69de8956d9f081909d076c5e413c1f74 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8e80fe80819088ac76bb5abc58f0 |
completed | April 14, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:19 p.m.