Triple

T10790149
Position Surface form Disambiguated ID Type / Status
Subject Manzanita, Oregon E254556 entity
Predicate near P350 FINISHED
Object Wheeler, Oregon E263860 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: Wheeler, Oregon | Statement: [Manzanita, Oregon, near, Wheeler, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheeler, Oregon
Context triple: [Manzanita, Oregon, near, Wheeler, Oregon]
  • A. Wheeler, Oregon chosen
    Wheeler, Oregon is a small coastal city in northwestern Oregon known for its scenic views of Nehalem Bay and access to outdoor recreation.
  • B. Winston, Oregon
    Winston, Oregon is a small city in southwestern Oregon known as the home of the Wildlife Safari drive-through animal park.
  • C. Weston, Oregon
    Weston, Oregon is a small rural city in northeastern Oregon known for its agricultural surroundings and location in the foothills of the Blue Mountains.
  • D. Whitney, Oregon
    Whitney, Oregon is a historic former logging and sawmill town in Baker County that is now largely abandoned and considered a ghost town.
  • E. Wren, Oregon
    Wren, Oregon is a small unincorporated community in Benton County known for its rural character in western Oregon.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f5b8248190a633dc44ae620a3a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de562873b081908bea08c56b1c1e3f completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.