Triple
T11253045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St Michael, Milverton |
E266365
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object |
Milverton
Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
|
E916000
|
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: Milverton | Statement: [Church of St Michael, Milverton, parish, Milverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milverton Context triple: [Church of St Michael, Milverton, parish, Milverton]
-
A.
Milverton Court
Milverton Court is a historic manor house located in the village of Milverton in Somerset, England.
-
B.
Wooster
Wooster is a small city in northeastern Ohio known for hosting the College of Wooster and serving as the seat of Wayne County.
-
C.
Mulliner
Mulliner is Bentley’s bespoke coachbuilding and personalization division, renowned for crafting highly customized, ultra-luxury versions of the brand’s vehicles.
-
D.
Belgrave
Belgrave is a suburb in Melbourne, Australia, known as a gateway to the Dandenong Ranges and for being the terminus of the historic Puffing Billy Railway.
-
E.
Hotton
Hotton is a small Belgian town in the Ardennes region, known for its scenic riverside setting, caves, and outdoor recreation along the Ourthe River.
- 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: Milverton Triple: [Church of St Michael, Milverton, parish, Milverton]
Generated description
Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milverton Target entity description: Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
-
A.
Milverton Court
Milverton Court is a historic manor house located in the village of Milverton in Somerset, England.
-
B.
Wooster
Wooster is a small city in northeastern Ohio known for hosting the College of Wooster and serving as the seat of Wayne County.
-
C.
Mulliner
Mulliner is Bentley’s bespoke coachbuilding and personalization division, renowned for crafting highly customized, ultra-luxury versions of the brand’s vehicles.
-
D.
Belgrave
Belgrave is a suburb in Melbourne, Australia, known as a gateway to the Dandenong Ranges and for being the terminus of the historic Puffing Billy Railway.
-
E.
Hotton
Hotton is a small Belgian town in the Ardennes region, known for its scenic riverside setting, caves, and outdoor recreation along the Ourthe River.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f40019588190864c59e8451e80bd |
completed | April 19, 2026, 3:25 p.m. |
| NEDg | Description generation | batch_69e4f7dbfafc8190afa1e9fe67f1296e |
completed | April 19, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:31 p.m.