Triple

T20131692
Position Surface form Disambiguated ID Type / Status
Subject Ben Vorlich (Loch Earn) E490909 entity
Predicate region P40 FINISHED
Object Central Highlands 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: Central Highlands | Statement: [Ben Vorlich (Loch Earn), region, Central Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Highlands
Context triple: [Ben Vorlich (Loch Earn), region, Central Highlands]
  • A. Central Highlands
    The Central Highlands is a sparsely populated, elevated region in central Tasmania known for its lakes, hydroelectric schemes, and rugged natural landscapes.
  • B. Central Highlands
    The Central Highlands is a mountainous region in central Sri Lanka known for its high peaks, cool climate, tea plantations, and UNESCO-listed natural landscapes.
  • C. Central Highlands
    The Central Highlands is a strategically important mountainous region in Vietnam that was a major battleground during the Vietnam War.
  • D. Central Highlands chosen
    The Central Highlands is a mountainous region in the Scottish Highlands known for its rugged terrain, glens, and lochs.
  • E. Central Highlands region
    The Central Highlands region is a rural area of central Queensland, Australia, known for its agricultural production, mining activities, and scattered country towns.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66762f0448190b7dbbc665e179ffc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.