Triple
T8000315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benson |
E186230
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Shillingford
Shillingford is a small village in South Oxfordshire, England, known for its rural setting near the River Thames and proximity to the town of Benson.
|
E704098
|
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: Shillingford | Statement: [Benson, near, Shillingford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shillingford Context triple: [Benson, near, Shillingford]
-
A.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
-
B.
Shardlow
Shardlow is a historic village in Derbyshire, England, known for its canal heritage and role as an important inland port during the industrial era.
-
C.
Widford
Widford is a small rural village in Oxfordshire, England, known for its historic church and picturesque countryside setting.
-
D.
Widford
Widford is a small village and civil parish in East Hertfordshire, England, known for its rural character and historic parish church.
-
E.
Felpersham
Felpersham is a fictional cathedral city in the long-running BBC radio drama "The Archers," serving as a key urban center near the village of Ambridge.
- 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: Shillingford Triple: [Benson, near, Shillingford]
Generated description
Shillingford is a small village in South Oxfordshire, England, known for its rural setting near the River Thames and proximity to the town of Benson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shillingford Target entity description: Shillingford is a small village in South Oxfordshire, England, known for its rural setting near the River Thames and proximity to the town of Benson.
-
A.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
-
B.
Shardlow
Shardlow is a historic village in Derbyshire, England, known for its canal heritage and role as an important inland port during the industrial era.
-
C.
Widford
Widford is a small rural village in Oxfordshire, England, known for its historic church and picturesque countryside setting.
-
D.
Widford
Widford is a small village and civil parish in East Hertfordshire, England, known for its rural character and historic parish church.
-
E.
Felpersham
Felpersham is a fictional cathedral city in the long-running BBC radio drama "The Archers," serving as a key urban center near the village of Ambridge.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9b67988190a8a4a2c960017400 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe114372c819086f06e184d5ebde2 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe441b76881909efa791b74316088 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34749ae08190a1d30919a0594bfd |
completed | March 31, 2026, 8:54 p.m. |
Created at: March 30, 2026, 5:17 p.m.