Triple

T402599
Position Surface form Disambiguated ID Type / Status
Subject Cedar Falls, Iowa E9316 entity
Predicate region P40 FINISHED
Object Cedar Valley E51388 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: Cedar Valley | Statement: [Cedar Falls, Iowa, region, Cedar Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Valley
Context triple: [Cedar Falls, Iowa, region, Cedar Valley]
  • A. Cedar Valley region chosen
    The Cedar Valley region is an area in northeastern Iowa centered around communities like Cedar Falls and Waterloo, known for its educational institutions, manufacturing base, and recreational opportunities along the Cedar River.
  • B. Pleasant Valley
    Pleasant Valley is a small town and community in Dutchess County, New York, known for its rural character and residential neighborhoods.
  • C. Kirkewood
    Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
  • D. Valley Wells
    Valley Wells is a small locality situated within California’s Mojave Desert, known primarily as a remote desert community along major regional travel routes.
  • E. South Meadows
    South Meadows is a neighborhood in Hartford, Connecticut, known for its mix of industrial areas, commercial development, and riverfront land along the Connecticut River.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca0e2048190a7bf360257965e56 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4254075388190af8fd09d037f427c completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.