Triple

T10788334
Position Surface form Disambiguated ID Type / Status
Subject Bickley E254504 entity
Predicate adjacentTo P224 FINISHED
Object Widmore
Widmore is a locality in the London Borough of Bromley, England, known as a largely residential suburban area.
 E885943 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: Widmore | Statement: [Bickley, adjacentTo, Widmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Widmore
Context triple: [Bickley, adjacentTo, Widmore]
  • A. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • B. Morgan
    Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
  • C. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • D. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • E. Morgan
    Morgan is the first-generation microarchitecture used in AMD's Duron processors, designed as a budget-friendly derivative of the Athlon line with reduced cache and simplified features.
  • 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: Widmore
Triple: [Bickley, adjacentTo, Widmore]
Generated description
Widmore is a locality in the London Borough of Bromley, England, known as a largely residential suburban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Widmore
Target entity description: Widmore is a locality in the London Borough of Bromley, England, known as a largely residential suburban area.
  • A. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • B. Morgan
    Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
  • C. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • D. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • E. Morgan
    Morgan is the first-generation microarchitecture used in AMD's Duron processors, designed as a budget-friendly derivative of the Athlon line with reduced cache and simplified features.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d65fcc8190ab5573a861409c56 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de562873b081908bea08c56b1c1e3f completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.