Triple
T15089878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark and Sherwood |
E360386
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Farnsfield
Farnsfield is a rural village and civil parish in Nottinghamshire, England, known for its countryside setting and historic parish church.
|
E1136491
|
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: Farnsfield | Statement: [Newark and Sherwood, contains, Farnsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnsfield Context triple: [Newark and Sherwood, contains, Farnsfield]
-
A.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
-
B.
Winchfield
Winchfield is a village in Hampshire, England, known for its rural character and railway station on the main line between London and Basingstoke.
-
C.
Tatsfield
Tatsfield is a village and civil parish in the Tandridge district of Surrey, England, situated near the border with Greater London and Kent.
-
D.
Bramfield
Bramfield is a small rural village in Suffolk, England, known for its historic church and traditional English countryside setting.
-
E.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
- 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: Farnsfield Triple: [Newark and Sherwood, contains, Farnsfield]
Generated description
Farnsfield is a rural village and civil parish in Nottinghamshire, England, known for its countryside setting and historic parish church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farnsfield Target entity description: Farnsfield is a rural village and civil parish in Nottinghamshire, England, known for its countryside setting and historic parish church.
-
A.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
-
B.
Winchfield
Winchfield is a village in Hampshire, England, known for its rural character and railway station on the main line between London and Basingstoke.
-
C.
Tatsfield
Tatsfield is a village and civil parish in the Tandridge district of Surrey, England, situated near the border with Greater London and Kent.
-
D.
Bramfield
Bramfield is a small rural village in Suffolk, England, known for its historic church and traditional English countryside setting.
-
E.
Yarrowford
Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1d7a0c819096b035f8ca8d0e90 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf8e1b508190b0b5ceb64d44fad6 |
completed | May 9, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:04 a.m.