Triple

T4040903
Position Surface form Disambiguated ID Type / Status
Subject Lady Margaret Hall, Oxford E83944 entity
Predicate pioneeringRole P2809 FINISHED
Object women's education at the University of Oxford 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: women's education at the University of Oxford | Statement: [Lady Margaret Hall, Oxford, pioneeringRole, women's education at the University of Oxford]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pioneeringRole
Context triple: [Lady Margaret Hall, Oxford, pioneeringRole, women's education at the University of Oxford]
  • A. pioneerOf chosen
    Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
  • B. foundingRole
    Indicates the specific role or capacity an entity held in the founding or establishment of another entity.
  • C. notableHistoricalFigureRole
    Indicates that an entity is recognized as a historically significant person who played a particular role or held a specific position in history.
  • D. significantEventRole
    Indicates that an entity plays an important or defining role in a particular significant event.
  • E. notableContribution
    Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3a9314819095dcf47675eedb48 completed March 9, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.