Triple

T20670727
Position Surface form Disambiguated ID Type / Status
Subject ML3 E508014 entity
Predicate covers P1393 FINISHED
Object Whitehill 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: Whitehill | Statement: [ML3, covers, Whitehill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehill
Context triple: [ML3, covers, Whitehill]
  • A. Whitehill chosen
    Whitehill is a small town and civil parish in East Hampshire, England, known for its proximity to the former army town of Bordon and the surrounding heathland and woodland.
  • B. Whitehills
    Whitehills is a small coastal fishing village in northeastern Scotland, known for its harbor and scenic views along the Moray Firth.
  • C. Buck Hill
    Buck Hill is a popular ski and snowboard area in Burnsville, Minnesota, known for its accessible slopes and role in training competitive skiers.
  • D. Buck Hill
    Buck Hill is a small rise near Manassas, Virginia, that served as a key terrain feature during the First Battle of Bull Run in the American Civil War.
  • E. Spruce Hill
    Spruce Hill is a primarily residential neighborhood in West Philadelphia known for its historic Victorian architecture and proximity to the University of Pennsylvania.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c735048190a01cb7692928d66e completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.