Triple

T317365
Position Surface form Disambiguated ID Type / Status
Subject East of England E7736 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Luton
Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
E51115 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: Luton | Statement: [East of England, containsAdministrativeTerritorialEntity, Luton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luton
Context triple: [East of England, containsAdministrativeTerritorialEntity, Luton]
  • A. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • B. Dartford
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • C. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • D. Woking
    Woking is a large commuter town in southeast England known for its rail links to London and its association with H.G. Wells’ "The War of the Worlds."
  • E. Leicester
    Leicester is a historic and culturally diverse city in the East Midlands of England, known for its Roman origins, vibrant multicultural community, and the rediscovery and reburial of King Richard III.
  • 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: Luton
Triple: [East of England, containsAdministrativeTerritorialEntity, Luton]
Generated description
Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luton
Target entity description: Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
  • A. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • B. Dartford
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • C. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • D. Woking
    Woking is a large commuter town in southeast England known for its rail links to London and its association with H.G. Wells’ "The War of the Worlds."
  • E. Leicester
    Leicester is a historic and culturally diverse city in the East Midlands of England, known for its Roman origins, vibrant multicultural community, and the rediscovery and reburial of King Richard III.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea65ca7081908093e6aaaf2d34f7 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413ee31fc81908cbda4c0737d1b33 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a414552e488190b02254f5c078eeb1 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a41485f4048190b47a78d05fa775b1 completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.