Triple

T10655441
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Canon Law E251074 entity
Predicate mayBeErectedBy P40454 FINISHED
Object Catholic university 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: Catholic university | Statement: [Faculty of Canon Law, mayBeErectedBy, Catholic university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeErectedBy
Context triple: [Faculty of Canon Law, mayBeErectedBy, Catholic university]
  • A. canBeEstablishedBy chosen
    Indicates that a particular state, condition, or relationship is able to be brought into existence or made valid through the actions or intervention of a specified entity.
  • B. erectedBy
    Indicates that something (such as a structure, monument, or installation) was constructed, set up, or raised by a particular agent or entity.
  • C. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • D. mayBeHostedBy
    Indicates that an entity has the possibility or option of being hosted or accommodated by another entity.
  • E. mayBeModifiedBy
    Indicates that an entity has the potential to be altered, changed, or updated by another entity or process.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff94c188190b1a822c3720d18b7 completed April 8, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69d6dd8753108190b799ffa0c760526e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:07 p.m.