Triple

T12753308
Position Surface form Disambiguated ID Type / Status
Subject Southend, Buckinghamshire E304790 entity
Predicate hasName P744 FINISHED
Object Southend
Southend is a small locality in Buckinghamshire, England, known primarily as a rural village within the county.
 E1000880 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: Southend | Statement: [Southend, Buckinghamshire, hasName, Southend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southend
Context triple: [Southend, Buckinghamshire, hasName, Southend]
  • A. Southend
    Southend is a small coastal village located at the southern tip of the Kintyre peninsula in Argyll and Bute, Scotland.
  • B. Southend-on-Sea
    Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
  • C. Leigh-on-Sea
    Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
  • D. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • E. Richmond Beach
    Richmond Beach is a coastal neighborhood and public shoreline area in Shoreline, Washington, known for its waterfront park and views of Puget Sound.
  • 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: Southend
Triple: [Southend, Buckinghamshire, hasName, Southend]
Generated description
Southend is a small locality in Buckinghamshire, England, known primarily as a rural village within the county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Southend
Target entity description: Southend is a small locality in Buckinghamshire, England, known primarily as a rural village within the county.
  • A. Southend
    Southend is a small coastal village located at the southern tip of the Kintyre peninsula in Argyll and Bute, Scotland.
  • B. Southend-on-Sea
    Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
  • C. Leigh-on-Sea
    Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
  • D. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • E. Richmond Beach
    Richmond Beach is a coastal neighborhood and public shoreline area in Shoreline, Washington, known for its waterfront park and views of Puget Sound.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:27 p.m.