Triple
T9903546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staffordshire Moorlands |
E182345
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Werrington
Werrington is a village in the Staffordshire Moorlands district of Staffordshire, England, known primarily as a residential community near the city of Stoke-on-Trent.
|
E829566
|
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: Werrington | Statement: [Staffordshire Moorlands, containsSettlement, Werrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werrington Context triple: [Staffordshire Moorlands, containsSettlement, Werrington]
-
A.
Werrington
Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
-
B.
Wroughton
Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
-
C.
Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
-
D.
Wretton
Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
E.
Widdrington
Widdrington is an English surname historically associated with British gentry and notable figures in literature and the military.
- 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: Werrington Triple: [Staffordshire Moorlands, containsSettlement, Werrington]
Generated description
Werrington is a village in the Staffordshire Moorlands district of Staffordshire, England, known primarily as a residential community near the city of Stoke-on-Trent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werrington Target entity description: Werrington is a village in the Staffordshire Moorlands district of Staffordshire, England, known primarily as a residential community near the city of Stoke-on-Trent.
-
A.
Werrington
Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
-
B.
Wroughton
Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
-
C.
Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
-
D.
Wretton
Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
E.
Widdrington
Widdrington is an English surname historically associated with British gentry and notable figures in literature and the military.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e4f92c81908e38509416f19c78 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d9e132c8190a68f94e4cfd36c56 |
completed | April 5, 2026, 7:22 a.m. |
| NEDg | Description generation | batch_69d20ed1f69c819099faa881a9a4368d |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212e3b864819092b8464f5a5ab696 |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:40 p.m.