Triple

T23009112
Position Surface form Disambiguated ID Type / Status
Subject Epsom to London Waterloo route E572858 entity
Predicate via P5680 FINISHED
Object Stoneleigh NE NERFINISHED

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: Stoneleigh | Statement: [Epsom to London Waterloo route, via, Stoneleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stoneleigh
Context triple: [Epsom to London Waterloo route, via, Stoneleigh]
  • A. Stoneleigh chosen
    Stoneleigh is a suburban residential area in Surrey, England, known for its commuter links to London and location within the borough of Epsom and Ewell.
  • B. Stoneleigh
    Stoneleigh is a historic village in Warwickshire, England, known for its picturesque rural setting and traditional English architecture.
  • C. Roundstone
    Roundstone is a rural locality within Queensland's Banana Shire, known for its agricultural landscape and sparse population.
  • D. Cliftleigh
    Cliftleigh is a residential locality in the Hunter Region of New South Wales, Australia, situated within the jurisdiction of Cessnock City Council.
  • E. Brackenfell
    Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835919b08190ba78e182b87358d4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.