Triple

T592548
Position Surface form Disambiguated ID Type / Status
Subject Leatherhead E17307 entity
Predicate isCommercialCentreFor P9422 FINISHED
Object surrounding local area LITERAL 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: surrounding local area | Statement: [Leatherhead, isCommercialCentreFor, surrounding local area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCommercialCentreFor
Context triple: [Leatherhead, isCommercialCentreFor, surrounding local area]
  • A. isIndustrialCenter
    Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
  • B. isCommercialHubIn chosen
    Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
  • C. hasBusinessDistrict
    Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
  • D. hasShoppingDistrict
    Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
  • E. isEconomicCenter
    Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
  • F. None of above.

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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbcaf5c81908de4e27096d3da13 completed March 1, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69a494cd7d3c8190af008acf34a2293b completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.