Triple

T4284810
Position Surface form Disambiguated ID Type / Status
Subject Solihull E97241 entity
Predicate hasSuburb P747 FINISHED
Object Meriden
Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
 E692148 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: Meriden | Statement: [Solihull, hasSuburb, Meriden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meriden
Context triple: [Solihull, hasSuburb, Meriden]
  • A. Meriden
    Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
  • B. Hamden
    Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
  • C. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • D. Naugatuck
    Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
  • E. Waterbury
    Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
  • 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: Meriden
Triple: [Solihull, hasSuburb, Meriden]
Generated description
Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meriden
Target entity description: Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
  • A. Meriden
    Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
  • B. Hamden
    Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
  • C. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • D. Naugatuck
    Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
  • E. Waterbury
    Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505bff588190919a4ef547f607c2 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9ea3f8a20819096ae41db21c8da0e completed March 30, 2026, 3:13 a.m.
NEDg Description generation batch_69c9ead5f1348190bff07f3a414dacc5 completed March 30, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69c9ebdb82888190bc716f376ec4b2ec completed March 30, 2026, 3:19 a.m.
Created at: March 12, 2026, 11:07 p.m.