Triple

T3471010
Position Surface form Disambiguated ID Type / Status
Subject Lambeth E73257 entity
Predicate contains P35 FINISHED
Object Gipsy Hill
Gipsy Hill is a residential district in south London known for its hilly streets, Victorian housing, and views across the city.
E362439 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: Gipsy Hill | Statement: [Lambeth, contains, Gipsy Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gipsy Hill
Context triple: [Lambeth, contains, Gipsy Hill]
  • A. Highgate
    Highgate is a historic and affluent district in north London, England, known for its famous cemetery and literary associations.
  • B. Kingston Hill
    Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
  • C. Herne Hill
    Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
  • D. Hither Green
    Hither Green is a residential district in southeast London, England, known for its commuter links, Victorian and Edwardian housing, and proximity to central London.
  • E. Denmark Hill
    Denmark Hill is a district in southeast London, England, known for its residential character, green spaces, and proximity to major hospitals and educational institutions.
  • 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: Gipsy Hill
Triple: [Lambeth, contains, Gipsy Hill]
Generated description
Gipsy Hill is a residential district in south London known for its hilly streets, Victorian housing, and views across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gipsy Hill
Target entity description: Gipsy Hill is a residential district in south London known for its hilly streets, Victorian housing, and views across the city.
  • A. Highgate
    Highgate is a historic and affluent district in north London, England, known for its famous cemetery and literary associations.
  • B. Kingston Hill
    Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
  • C. Herne Hill
    Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
  • D. Hither Green
    Hither Green is a residential district in southeast London, England, known for its commuter links, Victorian and Edwardian housing, and proximity to central London.
  • E. Denmark Hill
    Denmark Hill is a district in southeast London, England, known for its residential character, green spaces, and proximity to major hospitals and educational institutions.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373aeade48190958e7e09b856cede completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b3747e56ac8190b2c8bc8707202e52 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374d674a8819082fabddd941df7ae completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:17 p.m.