Triple

T17690648
Position Surface form Disambiguated ID Type / Status
Subject Ashingdon E441016 entity
Predicate hasSettlement P1068 FINISHED
Object King’s Hill 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: King’s Hill | Statement: [Ashingdon, hasSettlement, King’s Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King’s Hill
Context triple: [Ashingdon, hasSettlement, King’s Hill]
  • A. King’s Hill
    King’s Hill is a historic, upscale residential neighborhood in southwest Portland, Oregon, known for its classic architecture and proximity to downtown.
  • B. Queen’s Hill
    Queen’s Hill is a residential area and former military site located in Hong Kong’s North District.
  • C. Kings Hill chosen
    Kings Hill is a modern, planned residential and business community in Kent, England, developed on the site of a former airfield and known for its mixed-use facilities and commuter links.
  • D. Pound Hill
    Pound Hill is a residential neighbourhood and one of the main suburban areas within the town of Crawley in West Sussex, England.
  • E. Kingston Hill
    Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704b43a88190ba29654ca695839e completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.