Triple

T13635213
Position Surface form Disambiguated ID Type / Status
Subject Hayes E325830 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Harlington E97742 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: Harlington | Statement: [Hayes, hasNeighbourhood, Harlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlington
Context triple: [Hayes, hasNeighbourhood, Harlington]
  • A. Harlington chosen
    Harlington is a village in the London Borough of Hillingdon, England, known for its proximity to Heathrow Airport and its mix of residential areas and local amenities.
  • B. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • C. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • D. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • E. Byberry
    Byberry is a neighborhood in Northeast Philadelphia, Pennsylvania, known for its residential character and historical association with the former Philadelphia State Hospital (often called Byberry).
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.