Triple

T8899327
Position Surface form Disambiguated ID Type / Status
Subject Bayford E211885 entity
Predicate hasGreenSpace P1495 FINISHED
Object Bayford Green
Bayford Green is a public green space in the village of Bayford, typically used for recreation and community activities.
 E764482 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: Bayford Green | Statement: [Bayford, hasGreenSpace, Bayford Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayford Green
Context triple: [Bayford, hasGreenSpace, Bayford Green]
  • A. Wooburn Green
    Wooburn Green is a village and large green in Buckinghamshire, England, situated near High Wycombe in the River Wye valley.
  • B. Hurst Green
    Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
  • C. Hurst Green
    Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
  • D. Langley Green
    Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • E. Ripley Green
    Ripley Green is a large historic village common in Ripley, Surrey, known for its open grassland, recreational use, and traditional English village setting.
  • 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: Bayford Green
Triple: [Bayford, hasGreenSpace, Bayford Green]
Generated description
Bayford Green is a public green space in the village of Bayford, typically used for recreation and community activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayford Green
Target entity description: Bayford Green is a public green space in the village of Bayford, typically used for recreation and community activities.
  • A. Wooburn Green
    Wooburn Green is a village and large green in Buckinghamshire, England, situated near High Wycombe in the River Wye valley.
  • B. Hurst Green
    Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
  • C. Hurst Green
    Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
  • D. Langley Green
    Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • E. Ripley Green
    Ripley Green is a large historic village common in Ripley, Surrey, known for its open grassland, recreational use, and traditional English village setting.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64278b208190afc3dec64ecdb0f5 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac10be588190bd1b44f09ded7826 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacc9b53081909bd3505cff0a7722 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad73f7a8819089ee3dadf321220e completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:54 p.m.