Triple

T980903
Position Surface form Disambiguated ID Type / Status
Subject Kensington and Chelsea E21164 entity
Predicate borderedBy P224 FINISHED
Object Brent
Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
 E116076 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: Brent | Statement: [Kensington and Chelsea, borderedBy, Brent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brent
Context triple: [Kensington and Chelsea, borderedBy, Brent]
  • A. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • B. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • C. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Orr
    Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
  • 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: Brent
Triple: [Kensington and Chelsea, borderedBy, Brent]
Generated description
Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brent
Target entity description: Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
  • A. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • B. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • C. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Orr
    Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47cbca48190a01880bb411e80bd completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce14ffc8190b2d0a7915960ff89 completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac1dcf739081909c38eb936425f666 completed March 7, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69ac1e41d0a081908e890ce6aeccc87f completed March 7, 2026, 12:46 p.m.
Created at: March 1, 2026, 7:40 p.m.