Triple
T883329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shropshire |
E19073
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Albrighton
Albrighton is a large village and civil parish in Shropshire, England, known for its historic centre and proximity to RAF Cosford.
|
E110295
|
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: Albrighton | Statement: [Shropshire, contains, Albrighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albrighton Context triple: [Shropshire, contains, Albrighton]
-
A.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
-
B.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
C.
Hillington
Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
-
D.
Melwood
Melwood was the long-standing training ground and coaching facility of Liverpool Football Club, renowned as the site where many of the club’s famous teams prepared and trained.
-
E.
Shanklin
Shanklin is a popular seaside resort town on the Isle of Wight in England, known for its sandy beach, Victorian architecture, and scenic coastal walks.
- 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: Albrighton Triple: [Shropshire, contains, Albrighton]
Generated description
Albrighton is a large village and civil parish in Shropshire, England, known for its historic centre and proximity to RAF Cosford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albrighton Target entity description: Albrighton is a large village and civil parish in Shropshire, England, known for its historic centre and proximity to RAF Cosford.
-
A.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
-
B.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
C.
Hillington
Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
-
D.
Melwood
Melwood was the long-standing training ground and coaching facility of Liverpool Football Club, renowned as the site where many of the club’s famous teams prepared and trained.
-
E.
Shanklin
Shanklin is a popular seaside resort town on the Isle of Wight in England, known for its sandy beach, Victorian architecture, and scenic coastal walks.
- 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_69a7ee0053d88190be8705b42d172ab7 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f91fa98c81908461b9b29db18eb3 |
completed | March 4, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f997edb081909d82b13ec88d3f9f |
completed | March 4, 2026, 9:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.