Triple
T13731191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Harwood |
E329800
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Lidgett
Lidgett is a residential neighbourhood within the town of Great Harwood in Lancashire, England.
|
E1056702
|
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: Lidgett | Statement: [Great Harwood, hasNeighbourhood, Lidgett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lidgett Context triple: [Great Harwood, hasNeighbourhood, Lidgett]
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
Edgeley
Edgeley is a suburban area in Stockport, Greater Manchester, historically part of Cheshire, known for its residential character and proximity to Stockport town centre.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Luffield
Luffield is a well-known, long right-hand corner at the Silverstone Circuit that significantly influences lap times and race strategy in motorsport events held there.
-
E.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
- 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: Lidgett Triple: [Great Harwood, hasNeighbourhood, Lidgett]
Generated description
Lidgett is a residential neighbourhood within the town of Great Harwood in Lancashire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lidgett Target entity description: Lidgett is a residential neighbourhood within the town of Great Harwood in Lancashire, England.
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
Edgeley
Edgeley is a suburban area in Stockport, Greater Manchester, historically part of Cheshire, known for its residential character and proximity to Stockport town centre.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Luffield
Luffield is a well-known, long right-hand corner at the Silverstone Circuit that significantly influences lap times and race strategy in motorsport events held there.
-
E.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:55 p.m.