Triple

T25268786
Position Surface form Disambiguated ID Type / Status
Subject Bensalem E633505 entity
Predicate scientificInstitutionPurpose P88798 FINISHED
Object effecting all things possible 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: effecting all things possible | Statement: [Bensalem, scientificInstitutionPurpose, effecting all things possible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scientificInstitutionPurpose
Context triple: [Bensalem, scientificInstitutionPurpose, effecting all things possible]
  • A. scientificInstitutionDescribedAs
    Indicates that a scientific institution is characterized, labeled, or referred to using a particular description or designation.
  • B. institutionalPurpose chosen
    Indicates the intended function, mission, or role that an institution is designed or established to fulfill.
  • C. isScientificCenterFor
    Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
  • D. isResearchInstitution
    Indicates that an entity functions primarily as an organization dedicated to conducting scientific or scholarly research.
  • E. PIInstitution
    Indicates that an individual serves as a principal investigator (PI) affiliated with a particular institution.
  • 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_69e75a92f48881909974ff9c11150a2e completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48b9ea0e0819086d44dc5f6a2bd55 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 1:16 p.m.