Triple
T13534740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wards of the City of London |
E323231
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Bassishaw
Bassishaw is one of the historic wards within the City of London, forming part of its traditional administrative and electoral divisions.
|
E1047628
|
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: Bassishaw | Statement: [Wards of the City of London, hasSubdivision, Bassishaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassishaw Context triple: [Wards of the City of London, hasSubdivision, Bassishaw]
-
A.
Broomlands
Broomlands is a residential area forming part of the town of Irvine in North Ayrshire, Scotland.
-
B.
Uddingston
Uddingston is a suburban town in Scotland, situated near Glasgow and known for its residential character and local amenities.
-
C.
Broomhill
Broomhill is a residential area in Aberdeen, Scotland, known for its traditional granite housing and proximity to the city centre.
-
D.
Broomhill
Broomhill is a primarily residential neighbourhood in Glasgow known for its traditional tenement housing, local shops, and proximity to the city’s West End amenities.
-
E.
Barnt Green
Barnt Green is a village in Worcestershire, England, known as a commuter settlement south of Birmingham with good rail links and surrounding countryside.
- 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: Bassishaw Triple: [Wards of the City of London, hasSubdivision, Bassishaw]
Generated description
Bassishaw is one of the historic wards within the City of London, forming part of its traditional administrative and electoral divisions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bassishaw Target entity description: Bassishaw is one of the historic wards within the City of London, forming part of its traditional administrative and electoral divisions.
-
A.
Broomlands
Broomlands is a residential area forming part of the town of Irvine in North Ayrshire, Scotland.
-
B.
Uddingston
Uddingston is a suburban town in Scotland, situated near Glasgow and known for its residential character and local amenities.
-
C.
Broomhill
Broomhill is a primarily residential neighbourhood in Glasgow known for its traditional tenement housing, local shops, and proximity to the city’s West End amenities.
-
D.
Broomhill
Broomhill is a residential area in Aberdeen, Scotland, known for its traditional granite housing and proximity to the city centre.
-
E.
Barnt Green
Barnt Green is a village in Worcestershire, England, known as a commuter settlement south of Birmingham with good rail links and surrounding countryside.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbcad2881909fb7490311807f75 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d980cac8190a7f7fda56abda361 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f761d2a944819088965af57d5119a7 |
completed | May 3, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7624278388190a7edf96f7c298d2d |
completed | May 3, 2026, 2:57 p.m. |
Created at: April 9, 2026, 9:44 p.m.