Triple

T965037
Position Surface form Disambiguated ID Type / Status
Subject McDonald-Dunn Research Forest E20818 entity
Predicate isFieldSiteFor P7849 FINISHED
Object Oregon State University College of Forestry courses LITERAL 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: Oregon State University College of Forestry courses | Statement: [McDonald-Dunn Research Forest, isFieldSiteFor, Oregon State University College of Forestry courses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFieldSiteFor
Context triple: [McDonald-Dunn Research Forest, isFieldSiteFor, Oregon State University College of Forestry courses]
  • A. isSiteOf chosen
    Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
  • B. containsSite
    Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
  • C. hasObservationSite
    Indicates that something (such as a measurement, event, or observation activity) is associated with or took place at a specific observation site or location.
  • D. isNeutralSite
    Indicates that a location serves as an impartial or non-aligned site for an interaction, event, or relationship between parties.
  • E. isAt
    Indicates that one entity is located at or present in the place or position of another entity.
  • F. None of above.

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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b431d61481908b53490e99670363 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a42c1481908d940cbe0aefdd3b completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.