Triple

T1659405
Position Surface form Disambiguated ID Type / Status
Subject Gunnersbury Cemetery E35870 entity
Predicate locatedIn P40 FINISHED
Object Gunnersbury
Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
E187659 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: Gunnersbury | Statement: [Gunnersbury Cemetery, locatedIn, Gunnersbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunnersbury
Context triple: [Gunnersbury Cemetery, locatedIn, Gunnersbury]
  • A. Burgh Heath
    Burgh Heath is a residential area and local community within the borough of Reigate and Banstead in Surrey, England.
  • B. Verulam
    Verulam is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and cultural heritage.
  • C. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • D. Rusthall
    Rusthall is a village and civil parish in Kent, England, known for its sandstone rock formations and proximity to the spa town of Royal Tunbridge Wells.
  • E. Chobham
    Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
  • 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: Gunnersbury
Triple: [Gunnersbury Cemetery, locatedIn, Gunnersbury]
Generated description
Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gunnersbury
Target entity description: Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
  • A. Burgh Heath
    Burgh Heath is a residential area and local community within the borough of Reigate and Banstead in Surrey, England.
  • B. Verulam
    Verulam is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and cultural heritage.
  • C. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • D. Rusthall
    Rusthall is a village and civil parish in Kent, England, known for its sandstone rock formations and proximity to the spa town of Royal Tunbridge Wells.
  • E. Chobham
    Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6277b11481909a894391f4feadd0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6827ff2c8190b7c9af9926a7452c completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad68edbd2c819090c6556966eb279a completed March 8, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69ad69724c9c8190a2314a8f30f18f7d completed March 8, 2026, 12:20 p.m.
Created at: March 4, 2026, 7:29 p.m.