Triple

T54915
Position Surface form Disambiguated ID Type / Status
Subject Portland Japanese Garden E1082 entity
Predicate city P40 FINISHED
Object Portland E84 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: Portland | Statement: [Portland Japanese Garden, city, Portland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portland
Context triple: [Portland Japanese Garden, city, Portland]
  • A. Eugene, Oregon
    Eugene, Oregon is a mid-sized city in western Oregon known for its vibrant arts scene, outdoor recreation, and the University of Oregon.
  • B. Portland, Oregon, United States chosen
    Portland, Oregon, United States is a major Pacific Northwest city known for its vibrant arts scene, progressive culture, and lush natural surroundings.
  • C. Bend, Oregon
    Bend, Oregon is a rapidly growing city in central Oregon known for its outdoor recreation, craft beer scene, and proximity to the Cascade Mountains.
  • D. Gresham, Oregon
    Gresham, Oregon is a suburban city in the Portland metropolitan area known for its rapid growth, residential communities, and proximity to the Columbia River Gorge.
  • E. Everett
    Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b06c5488190afb5429a7999e3f3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34417410081909ea9d7c424224bc5 completed Feb. 28, 2026, 7:37 p.m.
Created at: Feb. 28, 2026, 1:50 a.m.