Triple
T7890310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrington South |
E183210
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Makerfield
Makerfield is a UK parliamentary constituency in Greater Manchester, historically associated with coal mining and working-class communities.
|
E696407
|
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: Makerfield | Statement: [Warrington South, borderedBy, Makerfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makerfield Context triple: [Warrington South, borderedBy, Makerfield]
-
A.
Stormfield
Stormfield is the Redding, Connecticut estate that served as Mark Twain’s final home and is now noted for its literary and historical significance.
-
B.
Palacefields
Palacefields is a residential suburb of the town of Runcorn in Cheshire, England.
-
C.
Stonehouse
Stonehouse is a small town in Gloucestershire, England, known historically for its role in the woollen industry and later light manufacturing, and now as a residential and commuter community near Stroud.
-
D.
Stonehouse
Stonehouse is a village in South Lanarkshire, Scotland, known for its historic conservation area and rural character.
-
E.
Fielden
Fielden is an English surname historically associated with figures involved in labor activism and social reform.
- 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: Makerfield Triple: [Warrington South, borderedBy, Makerfield]
Generated description
Makerfield is a UK parliamentary constituency in Greater Manchester, historically associated with coal mining and working-class communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makerfield Target entity description: Makerfield is a UK parliamentary constituency in Greater Manchester, historically associated with coal mining and working-class communities.
-
A.
Stormfield
Stormfield is the Redding, Connecticut estate that served as Mark Twain’s final home and is now noted for its literary and historical significance.
-
B.
Palacefields
Palacefields is a residential suburb of the town of Runcorn in Cheshire, England.
-
C.
Stonehouse
Stonehouse is a small town in Gloucestershire, England, known historically for its role in the woollen industry and later light manufacturing, and now as a residential and commuter community near Stroud.
-
D.
Stonehouse
Stonehouse is a village in South Lanarkshire, Scotland, known for its historic conservation area and rural character.
-
E.
Fielden
Fielden is an English surname historically associated with figures involved in labor activism and social reform.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ecb700819091c1bdfa95349d36 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b9f47cc8190a6f9fc087010ad96 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5df0287881908bce1a4449e9f252 |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb769944d08190ba8c2f5fe76e037b |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5 p.m.