Triple

T12766968
Position Surface form Disambiguated ID Type / Status
Subject Canunda National Park E305148 entity
Predicate near P350 FINISHED
Object Southend
Southend is a small coastal town in South Australia known for its beaches, fishing, and proximity to protected natural areas.
E1001946 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: [Canunda National Park, near, Southend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southend
Context triple: [Canunda National Park, near, 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
    Southend is a small locality in Buckinghamshire, England, known primarily as a rural village within the county.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: [Canunda National Park, near, Southend]
Generated description
Southend is a small coastal town in South Australia known for its beaches, fishing, and proximity to protected natural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southend
Target entity description: Southend is a small coastal town in South Australia known for its beaches, fishing, and proximity to protected natural areas.
  • A. Southend
    Southend is a small coastal village located at the southern tip of the Kintyre peninsula in Argyll and Bute, Scotland.
  • B. Southend
    Southend is a small locality in Buckinghamshire, England, known primarily as a rural village within the county.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f4e1508190a6f023f1d1dc192e completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:28 p.m.