Triple
T7599801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruton, Somerset, England |
E179952
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object |
BRUTON
BRUTON is a small historic town and civil parish in Somerset, England, known for its picturesque setting, independent schools, and growing reputation as a cultural and arts destination.
|
E674623
|
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: BRUTON | Statement: [Bruton, Somerset, England, postalTown, BRUTON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRUTON Context triple: [Bruton, Somerset, England, postalTown, BRUTON]
-
A.
Boughton
Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
-
B.
Branting
Branting is a Swedish surname most notably associated with Hjalmar Branting, a pioneering Social Democratic politician and Nobel Peace Prize laureate.
-
C.
Brereton
Brereton is a village and civil parish in Staffordshire, England, situated close to the town of Rugeley.
-
D.
Brimley
Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
-
E.
Borrisokane
Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community character.
- 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: BRUTON Triple: [Bruton, Somerset, England, postalTown, BRUTON]
Generated description
BRUTON is a small historic town and civil parish in Somerset, England, known for its picturesque setting, independent schools, and growing reputation as a cultural and arts destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BRUTON Target entity description: BRUTON is a small historic town and civil parish in Somerset, England, known for its picturesque setting, independent schools, and growing reputation as a cultural and arts destination.
-
A.
Boughton
Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
-
B.
Branting
Branting is a Swedish surname most notably associated with Hjalmar Branting, a pioneering Social Democratic politician and Nobel Peace Prize laureate.
-
C.
Brereton
Brereton is a village and civil parish in Staffordshire, England, situated close to the town of Rugeley.
-
D.
Brimley
Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
-
E.
Borrisokane
Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community character.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d7cb288190b40ff5c9a09297d9 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861ad08bc8190b3fc22109579a47d |
completed | March 28, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69c86239eb348190b5a0b83d280000e2 |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862a2f6808190942a22bf93994408 |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:53 p.m.