Triple
T12587198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Midlands Metro |
E300495
|
entity |
| Predicate | hasStop |
P17789
|
FINISHED |
| Object |
St Pauls
St Pauls is a tram stop on the West Midlands Metro light rail system serving the St Paul's area near Birmingham city centre in England.
|
E992680
|
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: St Pauls | Statement: [West Midlands Metro, hasStop, St Pauls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Pauls Context triple: [West Midlands Metro, hasStop, St Pauls]
-
A.
St Pauls
St Pauls is a culturally diverse inner-city area of Bristol, England, known for its vibrant Caribbean community, street art, and the annual St Pauls Carnival.
-
B.
St. Paul's
St. Paul's is a London Underground station in the City of London, located near St Paul's Cathedral and served by the Central line.
-
C.
St Peters
St Peters is an inner-city suburb of Sydney, Australia, known for its mix of residential streets, industrial heritage, and proximity to large urban parks.
-
D.
St Marys
St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
-
E.
St Clements
St Clements is a district of Oxford, England, known for its busy main street of shops, pubs, and restaurants linking the city centre with the eastern suburbs.
- 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: St Pauls Triple: [West Midlands Metro, hasStop, St Pauls]
Generated description
St Pauls is a tram stop on the West Midlands Metro light rail system serving the St Paul's area near Birmingham city centre in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St Pauls Target entity description: St Pauls is a tram stop on the West Midlands Metro light rail system serving the St Paul's area near Birmingham city centre in England.
-
A.
St Pauls
St Pauls is a culturally diverse inner-city area of Bristol, England, known for its vibrant Caribbean community, street art, and the annual St Pauls Carnival.
-
B.
St. Paul's
St. Paul's is a London Underground station in the City of London, located near St Paul's Cathedral and served by the Central line.
-
C.
St Peters
St Peters is an inner-city suburb of Sydney, Australia, known for its mix of residential streets, industrial heritage, and proximity to large urban parks.
-
D.
St Marys
St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
-
E.
St Clements
St Clements is a district of Oxford, England, known for its busy main street of shops, pubs, and restaurants linking the city centre with the eastern suburbs.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:05 p.m.