Triple

T4911847
Position Surface form Disambiguated ID Type / Status
Subject Horsham District E110250 entity
Predicate containsSettlement P847 FINISHED
Object Billingshurst E180061 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: Billingshurst | Statement: [Horsham District, containsSettlement, Billingshurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billingshurst
Context triple: [Horsham District, containsSettlement, Billingshurst]
  • A. Billingshurst chosen
    Billingshurst is a large village and civil parish in the Horsham District of West Sussex, England, known for its historic High Street and role as a local residential and commercial centre.
  • B. Rustington
    Rustington is a large coastal village and civil parish on the English Channel in the Arun District of West Sussex, England.
  • C. Uckfield
    Uckfield is a small market town in East Sussex, England, known for its historic high street and role as a local commercial and commuter hub.
  • D. Wadhurst
    Wadhurst is a rural village in East Sussex, England, known for its historic High Street, surrounding Wealden countryside, and role as a commuter community for nearby towns and London.
  • E. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9c32148190a940a3733ecd1898 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81bc9fe08190a76265d453e98f49 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:29 p.m.