Triple
T10975972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bow |
E259369
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Old Ford
Old Ford is a historic district in East London, England, known for its industrial heritage and proximity to the River Lea and Victoria Park.
|
E896962
|
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: Old Ford | Statement: [Bow, hasNeighbourhood, Old Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Ford Context triple: [Bow, hasNeighbourhood, Old Ford]
-
A.
Boteler’s Ford
Boteler’s Ford is a historic crossing point on the Potomac River near Shepherdstown, West Virginia, notable as the site of significant Civil War military action.
-
B.
Swinton
Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
-
C.
Swinton
Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
-
D.
Whichford
Whichford is a small rural village and civil parish in Warwickshire, England, known for its traditional Cotswold stone buildings and historic parish church.
-
E.
Hillman
Hillman is a surname of English and Ashkenazic Jewish origin borne by various notable individuals across politics, labor leadership, academia, and the arts.
- 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: Old Ford Triple: [Bow, hasNeighbourhood, Old Ford]
Generated description
Old Ford is a historic district in East London, England, known for its industrial heritage and proximity to the River Lea and Victoria Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Ford Target entity description: Old Ford is a historic district in East London, England, known for its industrial heritage and proximity to the River Lea and Victoria Park.
-
A.
Boteler’s Ford
Boteler’s Ford is a historic crossing point on the Potomac River near Shepherdstown, West Virginia, notable as the site of significant Civil War military action.
-
B.
Swinton
Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
-
C.
Swinton
Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
-
D.
Whichford
Whichford is a small rural village and civil parish in Warwickshire, England, known for its traditional Cotswold stone buildings and historic parish church.
-
E.
Hillman
Hillman is a surname of English and Ashkenazic Jewish origin borne by various notable individuals across politics, labor leadership, academia, and the arts.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7bcea448190b09906c79de67496 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.