Triple

T6974065
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Health Sciences Campus E161670 entity
Predicate hasMissionElement P3116 FINISHED
Object improve health outcomes through education 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: improve health outcomes through education | Statement: [Faculty of Health Sciences Campus, hasMissionElement, improve health outcomes through education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMissionElement
Context triple: [Faculty of Health Sciences Campus, hasMissionElement, improve health outcomes through education]
  • A. hasMissionSystem
    Indicates that an entity is equipped with or associated with a specific mission-related system or subsystem.
  • B. hasMissionActivity chosen
    Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
  • C. isTargetOfMission
    Indicates that an entity is the intended objective or focus of a particular mission or operation.
  • D. hasPredecessorMission
    Indicates that a mission occurs after and is directly preceded by another specific mission in a sequence.
  • E. hasNotableMission
    Indicates that an entity is associated with a mission or undertaking that is considered significant or noteworthy.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3bda908190a10a91dc8d043ef1 completed March 27, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:30 p.m.