Triple

T15510749
Position Surface form Disambiguated ID Type / Status
Subject Charlwood E368701 entity
Predicate locatedNear P294 FINISHED
Object Horley E18812 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: Horley | Statement: [Charlwood, locatedNear, Horley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horley
Context triple: [Charlwood, locatedNear, Horley]
  • A. Horley chosen
    Horley is a town in southeast England situated near Gatwick Airport, known as a commuter hub between London and the Sussex coast.
  • B. Ferryhill
    Ferryhill is a small town in County Durham, England, known historically for its coal mining heritage and location between Durham and Darlington.
  • C. Wakefield
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • D. Wakefield
    Wakefield is a small rural township in New Zealand’s Tasman District, located southwest of Nelson and serving as a local service and farming community.
  • E. Wakefield
    Wakefield is a residential neighborhood in the northern Bronx in New York City, known for its diverse community and mix of single- and multi-family homes.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.