Triple
T13616107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Bealings |
E325311
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Great Bealings
Great Bealings is a small rural village and civil parish in Suffolk, England, known for its historic church and countryside setting near Woodbridge.
|
E1051565
|
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: Great Bealings | Statement: [Little Bealings, locatedNear, Great Bealings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Bealings Context triple: [Little Bealings, locatedNear, Great Bealings]
-
A.
St Bees
St Bees is a coastal village in Cumbria, England, known for its sandy beach, dramatic sandstone cliffs, and historic priory.
-
B.
Beachamwell
Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
-
C.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
D.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
E.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
- 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: Great Bealings Triple: [Little Bealings, locatedNear, Great Bealings]
Generated description
Great Bealings is a small rural village and civil parish in Suffolk, England, known for its historic church and countryside setting near Woodbridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Bealings Target entity description: Great Bealings is a small rural village and civil parish in Suffolk, England, known for its historic church and countryside setting near Woodbridge.
-
A.
St Bees
St Bees is a coastal village in Cumbria, England, known for its sandy beach, dramatic sandstone cliffs, and historic priory.
-
B.
Beachamwell
Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
-
C.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
D.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
E.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9ecc2881909f71d71e056f9459 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:50 p.m.