Triple

T27089693
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness E686128 entity
Predicate relatedSetting P44691 FINISHED
Object St. Ambrose Hospital NE NERFINISHED

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: St. Ambrose Hospital | Statement: [Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness, relatedSetting, St. Ambrose Hospital]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedSetting
Context triple: [Los Angeles medical practice of Oceanside Wellness / Seaside Health and Wellness, relatedSetting, St. Ambrose Hospital]
  • A. partialSettingOf
    Indicates that one entity establishes or configures only some aspects or components of another entity, rather than defining it completely.
  • B. associatedWithSetting chosen
    Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
  • C. coversSetting
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • D. relatedPass
    Indicates that one pass is associated with or connected to another pass in some relevant way.
  • E. secondarySetting
    Indicates that an entity serves as an additional or supporting setting context for another entity, rather than being the primary setting.
  • 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_69ef148940ec819097b5c20fbfbf7c81 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69ff3e1762d8819089a60e402e682817 completed May 9, 2026, 2 p.m.
PD Predicate disambiguation batch_69ff3d8c6f308190a0646b1432752eb8 completed May 9, 2026, 1:58 p.m.
Created at: April 27, 2026, 8:40 a.m.