Triple

T2925233
Position Surface form Disambiguated ID Type / Status
Subject Arsenal W.F.C. E78826 entity
Predicate basedIn P40 FINISHED
Object Islington
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
E391232 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: Islington | Statement: [Arsenal W.F.C., basedIn, Islington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islington
Context triple: [Arsenal W.F.C., basedIn, Islington]
  • A. Highbury & Islington
    Highbury & Islington is a major London transport hub in Islington served by London Underground, London Overground, and National Rail services.
  • B. Stoke Newington
    Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
  • C. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • D. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • E. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • 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: Islington
Triple: [Arsenal W.F.C., basedIn, Islington]
Generated description
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Islington
Target entity description: Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • A. Highbury & Islington
    Highbury & Islington is a major London transport hub in Islington served by London Underground, London Overground, and National Rail services.
  • B. Stoke Newington
    Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
  • C. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • D. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • E. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fadc46e8819095ebcb23e1da9947 completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4feee00288190972b79c2193839b5 completed March 14, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69b4ff3ec2248190bdf071f74fdbf176 completed March 14, 2026, 6:25 a.m.
Created at: March 8, 2026, 2:55 p.m.