Triple

T16453917
Position Surface form Disambiguated ID Type / Status
Subject Braintree District E399624 entity
Predicate contains P35 FINISHED
Object Cressing
Cressing is a village and civil parish in the Braintree District of Essex, England, known for its historic rural character and proximity to the medieval Cressing Temple barns.
E1215048 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: Cressing | Statement: [Braintree District, contains, Cressing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cressing
Context triple: [Braintree District, contains, Cressing]
  • A. Colnbrook
    Colnbrook is a village in Berkshire, England, near Heathrow Airport, known historically as a coaching stop on the London–Bath road.
  • B. Brinsdon
    Brinsdon is a small settlement located within the civil parish of Yeovilton in Somerset, England.
  • C. Greenhill
    Greenhill is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
  • D. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • E. Northcliffe
    Northcliffe is a small rural town in Western Australia's South West region, known as a gateway to nearby forests, national parks, and coastal landscapes.
  • 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: Cressing
Triple: [Braintree District, contains, Cressing]
Generated description
Cressing is a village and civil parish in the Braintree District of Essex, England, known for its historic rural character and proximity to the medieval Cressing Temple barns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cressing
Target entity description: Cressing is a village and civil parish in the Braintree District of Essex, England, known for its historic rural character and proximity to the medieval Cressing Temple barns.
  • A. Colnbrook
    Colnbrook is a village in Berkshire, England, near Heathrow Airport, known historically as a coaching stop on the London–Bath road.
  • B. Brinsdon
    Brinsdon is a small settlement located within the civil parish of Yeovilton in Somerset, England.
  • C. Greenhill
    Greenhill is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
  • D. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • E. Northcliffe
    Northcliffe is a small rural town in Western Australia's South West region, known as a gateway to nearby forests, national parks, and coastal landscapes.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce259d88190803930051409d72c completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4e31a08190b121d0cfe2a406c2 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00513b6fcc8190a548b30cb7b4b67f completed May 10, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0051def1d48190b40f55c40ab269d2 completed May 10, 2026, 9:37 a.m.
Created at: April 10, 2026, 5:10 a.m.