Triple

T7326688
Position Surface form Disambiguated ID Type / Status
Subject Essex Police E168893 entity
Predicate operatesIn P82 FINISHED
Object Uttlesford
Uttlesford is a largely rural local government district in north-west Essex, England, known for its historic market towns and proximity to Stansted Airport.
 E181168 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: Uttlesford | Statement: [Essex Police, operatesIn, Uttlesford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uttlesford
Context triple: [Essex Police, operatesIn, Uttlesford]
  • A. Whittlesford
    Whittlesford is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
  • B. Grayshott
    Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
  • C. Saffron Walden
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • D. Parwich
    Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
  • E. Hertingfordbury
    Hertingfordbury is a small historic village and civil parish in Hertfordshire, England, known for its rural character and traditional English countryside setting.
  • 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: Uttlesford
Triple: [Essex Police, operatesIn, Uttlesford]
Generated description
Uttlesford is a largely rural local government district in north-west Essex, England, known for its historic market towns and proximity to Stansted Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uttlesford
Target entity description: Uttlesford is a largely rural local government district in north-west Essex, England, known for its historic market towns and proximity to Stansted Airport.
  • A. Whittlesford
    Whittlesford is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
  • B. Grayshott
    Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
  • C. Saffron Walden chosen
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • D. Parwich
    Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
  • E. Hertingfordbury
    Hertingfordbury is a small historic village and civil parish in Hertfordshire, England, known for its rural character and traditional English countryside setting.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a755e88190a50126e2d1d6d4cb completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0e3e7481908e6cedbd3f0077ca completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7efa4f5148190842f30988cbea94c completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0092bac819080ded1863f99290a completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:03 p.m.