Triple

T11105072
Position Surface form Disambiguated ID Type / Status
Subject Dark Peak moorlands E262606 entity
Predicate contains P35 FINISHED
Object Black Hill E161773 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: Black Hill | Statement: [Dark Peak moorlands, contains, Black Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Hill
Context triple: [Dark Peak moorlands, contains, Black Hill]
  • A. Black Hill chosen
    Black Hill is a prominent moorland summit in the Peak District of England, known for its exposed peat bogs and expansive upland views.
  • B. Savage Mountain
    Savage Mountain is the ominous nickname for K2, the world’s second-highest peak, renowned for its extreme difficulty and high fatality rate among climbers.
  • C. Glass Mountain
    Glass Mountain is a prominent obsidian lava dome complex on the eastern flank of Medicine Lake Volcano in northern California, known for its extensive glassy rhyolitic flows.
  • D. Gray Mountain
    Gray Mountain is a legal thriller novel by John Grisham that follows a young lawyer uncovering corruption and environmental crimes in a small Appalachian coal town.
  • E. The Mount
    The Mount is the commonly used nickname for Mount St. Mary's University, a Catholic liberal arts institution located near Emmitsburg, Maryland.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2e319881909e66d3c0c73b56bc completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:27 p.m.