Triple

T19794089
Position Surface form Disambiguated ID Type / Status
Subject Canning Town E475492 entity
Predicate adjacentTo P224 FINISHED
Object Poplar 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: Poplar | Statement: [Canning Town, adjacentTo, Poplar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poplar
Context triple: [Canning Town, adjacentTo, Poplar]
  • A. Poplar
    Poplar is a small rural community located within the township of Central Manitoulin in Ontario, Canada.
  • B. Poplar chosen
    Poplar is a historic district in the East End of London known for its docklands heritage, post-war social housing, and proximity to Canary Wharf.
  • C. West Poplar
    West Poplar is a residential neighborhood in Philadelphia, Pennsylvania, known for its rowhouses, community redevelopment, and proximity to Center City.
  • D. Populus
    Populus is a genus of fast-growing deciduous trees commonly known as poplars, aspens, and cottonwoods, widespread across the Northern Hemisphere.
  • E. Davie Poplar
    Davie Poplar is a historic, centuries-old tulip poplar tree on the campus of the University of North Carolina at Chapel Hill and a well-known campus symbol and gathering spot.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c5a7d48190b2a384f768d13750 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.