Triple

T980889
Position Surface form Disambiguated ID Type / Status
Subject Kensington and Chelsea E21164 entity
Predicate contains P35 FINISHED
Object King's Road
King's Road is a famous street in West London known for its fashionable boutiques, cultural history, and role in the Swinging Sixties and punk movements.
E198651 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: King's Road | Statement: [Kensington and Chelsea, contains, King's Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King's Road
Context triple: [Kensington and Chelsea, contains, King's Road]
  • A. Queens Road
    Queens Road is a street that serves as a key thoroughfare and location for the Queens Road depot.
  • B. Hills Road
    Hills Road is a major thoroughfare in Cambridge, England, known for connecting the city centre with key institutions such as the Cambridge Biomedical Campus and several educational establishments.
  • C. Buckingham Palace Road
    Buckingham Palace Road is a major thoroughfare in central London that runs near Buckingham Palace and connects key areas such as Victoria and Belgravia.
  • D. Hyde Road
    Hyde Road was a historic football ground in Manchester, England, best known as the early home of the club that became Manchester City F.C.
  • E. Moor Road
    Moor Road is a tram stop on Greater Manchester’s Metrolink light rail network in the UK.
  • 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: King's Road
Triple: [Kensington and Chelsea, contains, King's Road]
Generated description
King's Road is a famous street in West London known for its fashionable boutiques, cultural history, and role in the Swinging Sixties and punk movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: King's Road
Target entity description: King's Road is a famous street in West London known for its fashionable boutiques, cultural history, and role in the Swinging Sixties and punk movements.
  • A. Queens Road
    Queens Road is a street that serves as a key thoroughfare and location for the Queens Road depot.
  • B. Hills Road
    Hills Road is a major thoroughfare in Cambridge, England, known for connecting the city centre with key institutions such as the Cambridge Biomedical Campus and several educational establishments.
  • C. Buckingham Palace Road
    Buckingham Palace Road is a major thoroughfare in central London that runs near Buckingham Palace and connects key areas such as Victoria and Belgravia.
  • D. Hyde Road
    Hyde Road was a historic football ground in Manchester, England, best known as the early home of the club that became Manchester City F.C.
  • E. Moor Road
    Moor Road is a tram stop on Greater Manchester’s Metrolink light rail network in the UK.
  • 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_69a4b47b58ec81908d95f151b9af3dae completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada9536bec8190acf50065863bd16a completed March 8, 2026, 4:52 p.m.
NEDg Description generation batch_69adaab1fb6881908e0711ae1b69e2e5 completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adae9fdd3081908b1d9d7335cab1bd completed March 8, 2026, 5:15 p.m.
Created at: March 1, 2026, 7:40 p.m.