Triple

T8526508
Position Surface form Disambiguated ID Type / Status
Subject River Oich E201831 entity
Predicate hasRegion P285 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: [River Oich, hasRegion, Scottish Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scottish Highlands
Context triple: [River Oich, hasRegion, 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88f750cc819093c8902b2c285153 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:16 p.m.