Triple

T16611345
Position Surface form Disambiguated ID Type / Status
Subject Charles Egeler Reception and Guidance Center E403575 entity
Predicate assessmentActivities P8834 FINISHED
Object medical evaluation 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: medical evaluation | Statement: [Charles Egeler Reception and Guidance Center, assessmentActivities, medical evaluation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assessmentActivities
Context triple: [Charles Egeler Reception and Guidance Center, assessmentActivities, medical evaluation]
  • A. earnActivity
    Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
  • B. educationalActivity
    Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
  • C. settingOfActivities
    Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
  • D. activityType chosen
    Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
  • E. coordinatesActivitiesOf
    Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36096356c819092815d64db041793 completed April 18, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69e296aabc508190b3836a91b49113ad completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:17 a.m.