Triple

T19852673
Position Surface form Disambiguated ID Type / Status
Subject Esk Valley E477038 entity
Predicate containsSettlement P847 FINISHED
Object Danby 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: Danby | Statement: [Esk Valley, containsSettlement, Danby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danby
Context triple: [Esk Valley, containsSettlement, Danby]
  • A. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • B. Danby chosen
    Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • C. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • D. Kenmore
    Kenmore is a major Boston transit station and surrounding neighborhood hub that serves as a key access point to Fenway Park, Boston University, and the Kenmore Square area.
  • E. Kenmore
    Kenmore is a small scenic village in Perth and Kinross, Scotland, situated at the eastern end of Loch Tay and known for its historic charm and outdoor recreation.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.