Triple

T14417627
Position Surface form Disambiguated ID Type / Status
Subject Lowry Hill E357496 entity
Predicate adjacentTo P224 FINISHED
Object Kenwood E357494 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: Kenwood | Statement: [Lowry Hill, adjacentTo, Kenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenwood
Context triple: [Lowry Hill, adjacentTo, Kenwood]
  • A. Kenwood
    Kenwood is a small community in California’s Sonoma Valley known for its wineries, vineyards, and scenic rural charm.
  • B. Kenwood
    Kenwood is a historic neighborhood within Dracut, Massachusetts, known for its preserved architecture and local heritage.
  • C. Kenwood
    Kenwood is a historic, affluent neighborhood on Chicago’s South Side known for its lakefront location, notable architecture, and prominent residents.
  • D. Kenwood chosen
    Kenwood is an affluent residential neighborhood in Minneapolis, Minnesota, known for its historic homes and proximity to the city's scenic lakes.
  • E. JVCKENWOOD Corporation
    JVCKENWOOD Corporation is a Japanese electronics company known for producing audio-visual equipment, car electronics, and professional communications systems under brands such as JVC and Kenwood.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.