Triple

T9608536
Position Surface form Disambiguated ID Type / Status
Subject Plains cottonwood E232037 entity
Predicate commonName P570 FINISHED
Object Plains cottonwood E232037 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: Plains cottonwood | Statement: [Plains cottonwood, commonName, Plains cottonwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plains cottonwood
Context triple: [Plains cottonwood, commonName, Plains cottonwood]
  • A. Plains cottonwood chosen
    The Plains cottonwood is a large, fast-growing North American poplar tree commonly found along rivers and floodplains, known for its broad crown and fluttering, triangular leaves.
  • B. Cottonwood
    Cottonwood is a small unincorporated community in Northern California known for its rural character and location between Redding and Red Bluff.
  • C. Poplar
    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.
  • D. Poplar
    Poplar is a small rural community located within the township of Central Manitoulin in Ontario, Canada.
  • E. Tawny Cypress
    Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8300e48190bef51f61febc061d completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.