Triple
T5907038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leicester railway station |
E131365
|
entity |
| Predicate | hasPlatform |
P843
|
FINISHED |
| Object |
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.
|
E553231
|
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 1 | Statement: [Leicester railway station, hasPlatform, Platform 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platform 1 Context triple: [Leicester railway station, hasPlatform, Platform 1]
-
A.
Platform 1
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
B.
Platform 1
Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
-
C.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
-
E.
Platform 1
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, 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 1 Triple: [Leicester railway station, hasPlatform, Platform 1]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Platform 1 Target entity description: 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.
-
A.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
-
B.
Platform 1
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, England.
-
C.
Platform 1
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
D.
Platform 1
Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
-
E.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03772d9dc8190899fe49ef887e685 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16ba6c881908e9a909bf86ea92d |
completed | March 23, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c0b2751c2081908c8d47c9c0c26e84 |
completed | March 23, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2d6d5688190936858046377d192 |
completed | March 23, 2026, 3:26 a.m. |
Created at: March 22, 2026, 3:59 p.m.