Triple

T19220574
Position Surface form Disambiguated ID Type / Status
Subject Academia Gelro-Zutphanica E480600 entity
Predicate disciplineOffered P2902 FINISHED
Object medicine 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: medicine | Statement: [Academia Gelro-Zutphanica, disciplineOffered, medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplineOffered
Context triple: [Academia Gelro-Zutphanica, disciplineOffered, medicine]
  • A. offersDiscipline chosen
    Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
  • B. programOffered
    Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
  • C. offersEducationIn
    Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
  • D. isOfferedThrough
    Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
  • E. areTaughtIn
    Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69e4dcf22b3c8190bee02e3af946e114 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:24 p.m.