Triple

T13638827
Position Surface form Disambiguated ID Type / Status
Subject Bickenhill E325920 entity
Predicate near P350 FINISHED
Object Chelmsley Wood
Chelmsley Wood is a large residential area and housing estate in the Metropolitan Borough of Solihull, near Birmingham in England.
E1058547 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: Chelmsley Wood | Statement: [Bickenhill, near, Chelmsley Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelmsley Wood
Context triple: [Bickenhill, near, Chelmsley Wood]
  • A. Hinchley Wood
    Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
  • B. Cherwell Vale
    Cherwell Vale is an electoral ward and local administrative area within the Cherwell district of Oxfordshire, England.
  • C. Chiddingfold
    Chiddingfold is a picturesque rural village in Surrey, England, known for its historic green, traditional architecture, and surrounding countryside.
  • D. Wollescote
    Wollescote is a suburban area of Stourbridge in the West Midlands, England, known for its residential character and proximity to local parks and green spaces.
  • E. Burnt Oak
    Burnt Oak is a suburban district in northwest London known for its diverse community, local shopping streets, and residential character.
  • 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: Chelmsley Wood
Triple: [Bickenhill, near, Chelmsley Wood]
Generated description
Chelmsley Wood is a large residential area and housing estate in the Metropolitan Borough of Solihull, near Birmingham in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chelmsley Wood
Target entity description: Chelmsley Wood is a large residential area and housing estate in the Metropolitan Borough of Solihull, near Birmingham in England.
  • A. Hinchley Wood
    Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
  • B. Cherwell Vale
    Cherwell Vale is an electoral ward and local administrative area within the Cherwell district of Oxfordshire, England.
  • C. Chiddingfold
    Chiddingfold is a picturesque rural village in Surrey, England, known for its historic green, traditional architecture, and surrounding countryside.
  • D. Wollescote
    Wollescote is a suburban area of Stourbridge in the West Midlands, England, known for its residential character and proximity to local parks and green spaces.
  • E. Burnt Oak
    Burnt Oak is a suburban district in northwest London known for its diverse community, local shopping streets, and residential character.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83d2e5c81908499e0a0a2a3503b completed May 3, 2026, 7:55 p.m.
NEDg Description generation batch_69f7a94390988190bcaedcda0b691fbb completed May 3, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9fe250c8190b66062e7fcea8d86 completed May 3, 2026, 8:03 p.m.
Created at: April 9, 2026, 9:51 p.m.