Triple

T11394888
Position Surface form Disambiguated ID Type / Status
Subject Deeside E269945 entity
Predicate near P350 FINISHED
Object Chester
Chester is a historic walled city in northwest England, renowned for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries known as the Rows.
E640330 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: Chester | Statement: [Deeside, near, Chester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester
Context triple: [Deeside, near, Chester]
  • A. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • B. Chester
    Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
  • C. Chester
    Chester is the pet of Jonathan Byers, a character from the television series "Stranger Things."
  • D. Chester
    Chester "Chet" Atkins was a highly influential American guitarist and record producer who helped create the Nashville sound in country music.
  • E. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • 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: Chester
Triple: [Deeside, near, Chester]
Generated description
Chester is a historic walled city in northwest England, renowned for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries known as the Rows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chester
Target entity description: Chester is a historic walled city in northwest England, renowned for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries known as the Rows.
  • A. Chester chosen
    Chester is a historic walled city in northwest England known for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries called the Rows.
  • B. Chester
    Chester is a historic city in northwest England, renowned for its well-preserved Roman walls, medieval architecture, and distinctive two-tiered shopping galleries known as the Rows.
  • C. Chester
    Chester is a historic walled city in northwest England renowned for its Roman heritage, medieval architecture, and well-preserved city walls.
  • D. Chester
    Chester is a historic walled city in northwest England, renowned for its well-preserved Roman and medieval architecture.
  • E. Chester
    Chester is a historic city in northwest England known for its Roman walls, medieval architecture, and distinctive black-and-white timbered buildings.
  • F. None of above.

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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cb43b988190876af2de4be49628 completed April 20, 2026, 2:17 a.m.
NEDg Description generation batch_69e5932e23308190b1a8939ec2a60ec5 completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a17de98819083b8de60d564cb83 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.