Triple

T4255264
Position Surface form Disambiguated ID Type / Status
Subject Crawley E95957 entity
Predicate hasNeighbourhood P4813 FINISHED
Object West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
E424662 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: West Green | Statement: [Crawley, hasNeighbourhood, West Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Green
Context triple: [Crawley, hasNeighbourhood, West Green]
  • A. West Green
    West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
  • B. Meriden Green
    Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
  • C. Richmond Green
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • D. West Park
    West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
  • E. Pinkneys Green
    Pinkneys Green is a village and civil parish within the Royal Borough of Windsor and Maidenhead in Berkshire, England, known for its common land and green spaces.
  • 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: West Green
Triple: [Crawley, hasNeighbourhood, West Green]
Generated description
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: West Green
Target entity description: West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • A. West Green
    West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
  • B. Meriden Green
    Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
  • C. Richmond Green
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • D. West Park
    West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
  • E. Pinkneys Green
    Pinkneys Green is a village and civil parish within the Royal Borough of Windsor and Maidenhead in Berkshire, England, known for its common land and green spaces.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:06 p.m.