Triple

T6367529
Position Surface form Disambiguated ID Type / Status
Subject Angmering E143263 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Highdown E562117 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: Highdown | Statement: [Angmering, hasNeighbouringSettlement, Highdown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highdown
Context triple: [Angmering, hasNeighbouringSettlement, Highdown]
  • A. Highdown Hill chosen
    Highdown Hill is a prominent chalk hill in West Sussex, England, known for its scenic views, ancient burial mounds, and historic connections to the surrounding Worthing area.
  • B. Hoher Tenn
    Hoher Tenn is a prominent mountain peak in the Austrian Alps, known for its high elevation and alpine climbing routes.
  • C. High Hill
    High Hill, also known as Jaynes Hill, is the highest natural point on Long Island in New York State.
  • D. High Pike
    High Pike is a prominent fell in England’s Lake District, known for its sweeping views over the Northern Fells and surrounding valleys.
  • E. Blue Downs
    Blue Downs is a residential suburb on the Cape Flats in Cape Town, South Africa, known for its diverse communities and ongoing urban development.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068251ae48190af8201d5f9ad35b6 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8689408190b334928df870ed29 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:32 p.m.