Triple

T1578164
Position Surface form Disambiguated ID Type / Status
Subject Western Oregon E33699 entity
Predicate containsCity P294 FINISHED
Object Florence, Oregon E151873 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: Florence, Oregon | Statement: [Western Oregon, containsCity, Florence, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence, Oregon
Context triple: [Western Oregon, containsCity, Florence, Oregon]
  • A. Florence, Oregon chosen
    Florence, Oregon is a small coastal city in the U.S. state of Oregon known for its scenic beaches, sand dunes, and historic Old Town along the Siuslaw River.
  • B. Newport, Oregon
    Newport, Oregon is a coastal city on the central Oregon coast known for its working waterfront, marine research institutions, and popular attractions like the Oregon Coast Aquarium.
  • C. Salem, Oregon
    Salem, Oregon is the capital city of the U.S. state of Oregon, known as a regional center for government, education, and agriculture in the Willamette Valley.
  • D. Fairview, Oregon
    Fairview, Oregon is a small suburban city in the Portland metropolitan area in northwestern Oregon.
  • E. Albany, Oregon
    Albany, Oregon is a mid-sized city in the Willamette Valley known as the "Hub of the Valley" for its historic downtown, timber and manufacturing industries, and role as a regional commercial center.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d571f081908acec43ff2ef112d completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad402e1cc48190bb69628bc63d6f4c completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.