Triple

T6032276
Position Surface form Disambiguated ID Type / Status
Subject Leaside E134332 entity
Predicate near P350 FINISHED
Object Don Valley E235394 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: Don Valley | Statement: [Leaside, near, Don Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Valley
Context triple: [Leaside, near, Don Valley]
  • A. Don Valley chosen
    Don Valley is a major river valley in Toronto, Ontario, known for its ravine system, parklands, and transportation corridors following the course of the Don River.
  • B. Trent Valley
    Trent Valley is the low-lying floodplain and surrounding landscape shaped by the course of the River Trent in central England.
  • C. Clyde Valley
    Clyde Valley is a fertile, scenic river valley in Scotland known for its orchards, market gardening, and historic settlements along the River Clyde.
  • D. Humber Creek
    Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber River.
  • E. River Douglas
    River Douglas is a small river on the Isle of Man that flows through the island’s capital, Douglas, before reaching the Irish Sea.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b0a8d081909035e2e85e851ca1 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113855ad08190b9ff826a2f39c356 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.