Triple

T10464844
Position Surface form Disambiguated ID Type / Status
Subject Acton, London, England E246764 entity
Predicate hasPart P35 FINISHED
Object Acton Green
Acton Green is a small residential area and green space within the district of Acton in West London, England.
E872199 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: Acton Green | Statement: [Acton, London, England, hasPart, Acton Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acton Green
Context triple: [Acton, London, England, hasPart, Acton Green]
  • A. Butler Green
    Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
  • B. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • C. Langley Green
    Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • D. Acton Town
    Acton Town is a London Underground station in west London that serves as an important interchange between the Piccadilly and District lines.
  • E. Cox Green
    Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
  • 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: Acton Green
Triple: [Acton, London, England, hasPart, Acton Green]
Generated description
Acton Green is a small residential area and green space within the district of Acton in West London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Acton Green
Target entity description: Acton Green is a small residential area and green space within the district of Acton in West London, England.
  • A. Butler Green
    Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
  • B. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • C. Langley Green
    Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • D. Acton Town
    Acton Town is a London Underground station in west London that serves as an important interchange between the Piccadilly and District lines.
  • E. Cox Green
    Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b047b588190a116f4fbd4cdbc35 completed April 10, 2026, 7:09 p.m.
NEDg Description generation batch_69d94ca07da481908f2d546f8ddc9326 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d94e8687bc819082b672a64bf85500 completed April 10, 2026, 7:24 p.m.
Created at: April 6, 2026, 12:19 p.m.