Triple

T4142168
Position Surface form Disambiguated ID Type / Status
Subject Wembley E89294 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Tokyngton
Tokyngton is a residential district in the London Borough of Brent, known for its proximity to Wembley Stadium and its diverse local community.
 E415095 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: Tokyngton | Statement: [Wembley, hasNeighbourhood, Tokyngton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tokyngton
Context triple: [Wembley, hasNeighbourhood, Tokyngton]
  • A. Buckingham
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • B. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • C. Tilbury
    Tilbury is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known for its agricultural surroundings and local services.
  • D. Tilbury
    Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to London.
  • E. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • 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: Tokyngton
Triple: [Wembley, hasNeighbourhood, Tokyngton]
Generated description
Tokyngton is a residential district in the London Borough of Brent, known for its proximity to Wembley Stadium and its diverse local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tokyngton
Target entity description: Tokyngton is a residential district in the London Borough of Brent, known for its proximity to Wembley Stadium and its diverse local community.
  • A. Buckingham
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • B. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • C. Tilbury
    Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to London.
  • D. Tilbury
    Tilbury is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known for its agricultural surroundings and local services.
  • E. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af024cc7e88190b23b39d6f5f2a2e0 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576cff6c881909134804ba6f9876d completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577d391ac8190b6062b1f64e2e7e8 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5787ed214819092fc425152069df9 completed March 14, 2026, 3:02 p.m.
Created at: March 9, 2026, 3:43 p.m.