Triple
T4727010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telford |
E104908
|
entity |
| Predicate | formedByAmalgamationOf |
P6637
|
FINISHED |
| Object |
Dawley
Dawley is a historic town in Shropshire, England, that became part of the new town of Telford during its mid-20th-century development.
|
E465236
|
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: Dawley | Statement: [Telford, formedByAmalgamationOf, Dawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawley Context triple: [Telford, formedByAmalgamationOf, Dawley]
-
A.
Littondale
Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
-
B.
Sawley
Sawley is a small rural village in Lancashire, England, known for its historic abbey ruins and scenic setting in the Ribble Valley.
-
C.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
-
D.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
E.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
- 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: Dawley Triple: [Telford, formedByAmalgamationOf, Dawley]
Generated description
Dawley is a historic town in Shropshire, England, that became part of the new town of Telford during its mid-20th-century development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dawley Target entity description: Dawley is a historic town in Shropshire, England, that became part of the new town of Telford during its mid-20th-century development.
-
A.
Littondale
Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
-
B.
Sawley
Sawley is a small rural village in Lancashire, England, known for its historic abbey ruins and scenic setting in the Ribble Valley.
-
C.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
-
D.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
E.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd644872508190887043de6c30c3da |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a07bc8819086c29ec0b466ce2c |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1559e6488190ab395ba3f6e18f96 |
completed | March 21, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15ba6dac8190b37130ba0a9209c3 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:18 p.m.