Triple

T1396273
Position Surface form Disambiguated ID Type / Status
Subject Burslem E30671 entity
Predicate hasNeighbour P5707 FINISHED
Object Hanley
Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
 E160424 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: Hanley | Statement: [Burslem, hasNeighbour, Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanley
Context triple: [Burslem, hasNeighbour, Hanley]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • C. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • D. Hayward
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • E. Hines
    Hines is a surname most famously associated with Earl Hines, the influential American jazz pianist and bandleader.
  • 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: Hanley
Triple: [Burslem, hasNeighbour, Hanley]
Generated description
Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanley
Target entity description: Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • C. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • D. Hayward
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • E. Hines
    Hines is a surname most famously associated with Earl Hines, the influential American jazz pianist and bandleader.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37fd6e0819084d610ef041db3af completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde310f748190a5c58caf4fbaa5c5 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdee073fc819098c906d91870b317 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ace0a7ddc08190a44be1707587351b completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:59 p.m.