Triple

T4448097
Position Surface form Disambiguated ID Type / Status
Subject Rochford District E96338 entity
Predicate containsSettlement P847 FINISHED
Object Shopland
Shopland is a small rural settlement located within the Rochford District of Essex, England.
E441021 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: Shopland | Statement: [Rochford District, containsSettlement, Shopland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shopland
Context triple: [Rochford District, containsSettlement, Shopland]
  • A. Hightstown
    Hightstown is a small borough in central New Jersey known for its historic downtown and residential community within Mercer County.
  • B. Cherry Hill
    Cherry Hill is a suburban township in southern New Jersey known as a major residential and commercial hub just outside Philadelphia.
  • C. Collingswood
    Collingswood is a suburban borough in Camden County, New Jersey, known for its walkable downtown, historic homes, and convenient rail access to Philadelphia.
  • D. Maybrook
    Maybrook is a small village in Orange County, New York, historically known as a railroad hub and residential community in the Hudson Valley region.
  • E. Lindenwold
    Lindenwold is a borough in Camden County, New Jersey, known as a regional transportation hub with major rail connections including NJ Transit and the PATCO Speedline.
  • 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: Shopland
Triple: [Rochford District, containsSettlement, Shopland]
Generated description
Shopland is a small rural settlement located within the Rochford District of Essex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shopland
Target entity description: Shopland is a small rural settlement located within the Rochford District of Essex, England.
  • A. Hightstown
    Hightstown is a small borough in central New Jersey known for its historic downtown and residential community within Mercer County.
  • B. Cherry Hill
    Cherry Hill is a suburban township in southern New Jersey known as a major residential and commercial hub just outside Philadelphia.
  • C. Collingswood
    Collingswood is a suburban borough in Camden County, New Jersey, known for its walkable downtown, historic homes, and convenient rail access to Philadelphia.
  • D. Maybrook
    Maybrook is a small village in Orange County, New York, historically known as a railroad hub and residential community in the Hudson Valley region.
  • E. Lindenwold
    Lindenwold is a borough in Camden County, New Jersey, known as a regional transportation hub with major rail connections including NJ Transit and the PATCO Speedline.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d45b748190b09b7067fc6279b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b617c13d4481909d22d201ce405d3a completed March 15, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b6187687f8819084e2d611e9e31f79 completed March 15, 2026, 2:24 a.m.
Created at: March 12, 2026, 11:32 p.m.