Triple

T12051428
Position Surface form Disambiguated ID Type / Status
Subject Burnham-on-Sea E286923 entity
Predicate near P350 FINISHED
Object Berrow
Berrow is a coastal village in Somerset, England, known for its long sandy beach, dunes, and proximity to the resort town of Burnham-on-Sea.
E961221 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: Berrow | Statement: [Burnham-on-Sea, near, Berrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berrow
Context triple: [Burnham-on-Sea, near, Berrow]
  • A. Yewbarrow
    Yewbarrow is a distinctive, steep-sided fell in England’s Lake District, known for its striking profile above Wast Water in Wasdale.
  • B. Inkberrow
    Inkberrow is a picturesque village in Worcestershire, England, often noted as the inspiration for the fictional village of Ambridge in the BBC radio series "The Archers."
  • C. Beauraing
    Beauraing is a small town in the Wallonia region of Belgium, known as a Catholic pilgrimage site due to reported Marian apparitions in the early 1930s.
  • D. Baverstock
    Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
  • E. Wyre
    Wyre is a district and local government area in Lancashire, England, named after the River Wyre and known for its mix of coastal towns and rural 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: Berrow
Triple: [Burnham-on-Sea, near, Berrow]
Generated description
Berrow is a coastal village in Somerset, England, known for its long sandy beach, dunes, and proximity to the resort town of Burnham-on-Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berrow
Target entity description: Berrow is a coastal village in Somerset, England, known for its long sandy beach, dunes, and proximity to the resort town of Burnham-on-Sea.
  • A. Yewbarrow
    Yewbarrow is a distinctive, steep-sided fell in England’s Lake District, known for its striking profile above Wast Water in Wasdale.
  • B. Inkberrow
    Inkberrow is a picturesque village in Worcestershire, England, often noted as the inspiration for the fictional village of Ambridge in the BBC radio series "The Archers."
  • C. Beauraing
    Beauraing is a small town in the Wallonia region of Belgium, known as a Catholic pilgrimage site due to reported Marian apparitions in the early 1930s.
  • D. Baverstock
    Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
  • E. Wyre
    Wyre is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its tranquil landscape and archaeological sites.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.