Triple

T8597774
Position Surface form Disambiguated ID Type / Status
Subject River Tavy E203593 entity
Predicate nearbySettlement P350 FINISHED
Object Peter Tavy E744709 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: Peter Tavy | Statement: [River Tavy, nearbySettlement, Peter Tavy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Tavy
Context triple: [River Tavy, nearbySettlement, Peter Tavy]
  • A. Peter Tavy chosen
    Peter Tavy is a small rural village and civil parish on the western edge of Dartmoor in Devon, England.
  • B. William Tailer
    William Tailer was an early 18th-century colonial politician who briefly served as acting governor of the Province of Massachusetts Bay.
  • C. Matthew Mott
    Matthew Mott is an Australian cricket coach best known for leading successful limited-overs sides, including national teams in white-ball formats.
  • D. Lou Barle
    Lou Barle was a professional basketball player best known for his time with the early National Basketball League team the Oshkosh All-Stars.
  • E. Robert Taffy
    Robert Taffy was the architect responsible for designing Mapo Hall, a historic colonial-era civic building in Ibadan, Nigeria.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebba872b8819098ba7525944bcce1 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:24 p.m.