Triple

T21498274
Position Surface form Disambiguated ID Type / Status
Subject Office of the President of Princeton University E530411 entity
Predicate governsScope P130248 FINISHED
Object university-wide affairs 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: university-wide affairs | Statement: [Office of the President of Princeton University, governsScope, university-wide affairs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsScope
Context triple: [Office of the President of Princeton University, governsScope, university-wide affairs]
  • A. governingBodyScope chosen
    Indicates the extent or domain (such as geographic area, population, or subject matter) over which a governing body has authority or jurisdiction.
  • B. scopeOfControl
    Indicates the extent or range within which an entity has authority, influence, or control over another entity or set of entities.
  • C. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • D. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • E. governedFor
    Indicates that one entity exercised governing authority or administrative control on behalf of, or in the interest 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5a1c6481909410a1164d86a344 completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e631f6e68081908f5ee4ce7413803e completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:23 p.m.