Triple

T16909630
Position Surface form Disambiguated ID Type / Status
Subject Dog Soldiers E410160 entity
Predicate setting P1957 FINISHED
Object Scottish Highlands E4352 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: Scottish Highlands | Statement: [Dog Soldiers, setting, Scottish Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scottish Highlands
Context triple: [Dog Soldiers, setting, Scottish Highlands]
  • A. Scottish Highlands chosen
    The Scottish Highlands are a rugged, sparsely populated region in northern Scotland known for their dramatic mountains, deep glens, lochs, and strong Gaelic cultural heritage.
  • B. Highland Mountains
    The Highland Mountains are a rugged subrange of the Rocky Mountains in southwestern Montana, known for their high peaks, alpine terrain, and outdoor recreation opportunities.
  • C. Highland
    Highland is a vast council area in the Scottish Highlands known for its rugged landscapes, remote communities, and iconic natural scenery including mountains, lochs, and coastline.
  • D. Highland
    Highland is a suburban city in Southern California’s Inland Empire, located in San Bernardino County near the city of San Bernardino.
  • E. Highland
    Highland is a commuter rail station on the Needham Line serving passengers in the Boston, Massachusetts area.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3bdc3081908a9b4f6e63405348 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.