Triple

T7266352
Position Surface form Disambiguated ID Type / Status
Subject Law School of Berytus E160983 entity
Predicate hadStudentBodyFrom P54814 FINISHED
Object various provinces of the Roman Empire 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: various provinces of the Roman Empire | Statement: [Law School of Berytus, hadStudentBodyFrom, various provinces of the Roman Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadStudentBodyFrom
Context triple: [Law School of Berytus, hadStudentBodyFrom, various provinces of the Roman Empire]
  • A. hasStudentBodyFrom chosen
    Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
  • B. hasStudentBodyType
    Indicates that an educational institution possesses a student body characterized by a particular type or classification.
  • C. representsStudentBody
    Indicates that one entity serves as the official representative or governing body for the students of another entity (such as a school or institution).
  • D. notableStudentBodyAssociatedWith
    Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
  • E. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb088dac8190b353f6ea3d686025 completed March 27, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69c6e76876608190ac4652bc7153302e completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:58 p.m.