Triple
T12470944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace Green |
E298053
|
entity |
| Predicate | accessedVia |
P1985
|
FINISHED |
| Object |
North Bailey
North Bailey is a historic street in Durham, England, lined with university buildings and residences near the Cathedral and Palace Green.
|
E983405
|
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: North Bailey | Statement: [Palace Green, accessedVia, North Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Bailey Context triple: [Palace Green, accessedVia, North Bailey]
-
A.
Marple Bridge
Marple Bridge is a village in the Metropolitan Borough of Stockport, Greater Manchester, known for its picturesque setting along the River Goyt and its traditional stone buildings.
-
B.
Briggate
Briggate is one of the main historic shopping streets in Leeds city centre, known for its major retail stores and pedestrian-friendly layout.
-
C.
Great Broughton
Great Broughton is a village in Cumbria, England, known for its rural setting near the Lake District.
-
D.
Blyth
Blyth is a coastal town and port in southeast Northumberland, England, known historically for coal mining and shipbuilding.
-
E.
Conolly
Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
- 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: North Bailey Triple: [Palace Green, accessedVia, North Bailey]
Generated description
North Bailey is a historic street in Durham, England, lined with university buildings and residences near the Cathedral and Palace Green.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: North Bailey Target entity description: North Bailey is a historic street in Durham, England, lined with university buildings and residences near the Cathedral and Palace Green.
-
A.
Marple Bridge
Marple Bridge is a village in the Metropolitan Borough of Stockport, Greater Manchester, known for its picturesque setting along the River Goyt and its traditional stone buildings.
-
B.
Briggate
Briggate is one of the main historic shopping streets in Leeds city centre, known for its major retail stores and pedestrian-friendly layout.
-
C.
Great Broughton
Great Broughton is a village in Cumbria, England, known for its rural setting near the Lake District.
-
D.
Blyth
Blyth is a coastal town and port in southeast Northumberland, England, known historically for coal mining and shipbuilding.
-
E.
Conolly
Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dba7f6c8190b272f649e0777362 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2175c48190bbd28ad8c07434f0 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6401199408190ad2657802afd93c9 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6416ba1bc8190a772bffe4d83ec15 |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.