Triple
T883295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shropshire |
E19073
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Telford
Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
|
E104908
|
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: Telford | Statement: [Shropshire, contains, Telford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telford Context triple: [Shropshire, contains, Telford]
-
A.
Telford
Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
-
B.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
C.
Solihull
Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Shrewsbury
Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
- 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: Telford Triple: [Shropshire, contains, Telford]
Generated description
Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telford Target entity description: Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
-
A.
Telford
Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
-
B.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
C.
Solihull
Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Shrewsbury
Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accda4148190aa628dab14d7f5de |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01f00f48190b954db4a0cb5baa8 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c088506c81908a9e8ac91cb5b69d |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10b114c8190831a95519dd185a2 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:39 p.m.