Triple

T3029599
Position Surface form Disambiguated ID Type / Status
Subject Tayside E82859 entity
Predicate borderedBy P224 FINISHED
Object Highland 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: Highland | Statement: [Tayside, borderedBy, Highland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highland
Context triple: [Tayside, borderedBy, Highland]
  • A. Highland
    Highland is a suburban city in Southern California’s Inland Empire, located in San Bernardino County near the city of San Bernardino.
  • B. Highlands region
    The Highlands region is a mountainous inland area of Papua New Guinea known for its rugged terrain, cool climate, and diverse traditional cultures.
  • C. 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.
  • D. Kutaisi Lowland
    Kutaisi Lowland is a fertile lowland region in western Georgia known for its agricultural significance and location along the middle course of the Rioni River.
  • E. Southern Uplands
    The Southern Uplands are a range of rolling hills and moorland in southern Scotland, known for their rural landscapes, sheep farming, and role as a natural border region with England.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aecd384819085d15f701add7c44 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.