Triple

T11283944
Position Surface form Disambiguated ID Type / Status
Subject BR postcode area E267136 entity
Predicate coversTown P847 FINISHED
Object Shortlands E315480 NE FINISHED

How this triple was built (2 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: Shortlands | Statement: [BR postcode area, coversTown, Shortlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shortlands
Context triple: [BR postcode area, coversTown, Shortlands]
  • A. Shortlands chosen
    Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
  • B. Moreland
    Moreland is a small unincorporated community located in Coweta County, Georgia, known for its rural character and local Southern heritage.
  • C. Moreland
    Moreland is a residential neighborhood in southeast Portland, Oregon, known for its tree-lined streets, parks, and proximity to the Willamette River within the Sellwood–Moreland area.
  • D. Redland
    Redland is an unincorporated residential community located in Elmore County, Alabama.
  • E. Redland
    Redland is a leafy, affluent suburb of Bristol, England, known for its Victorian and Edwardian architecture and proximity to the city centre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.