Triple

T23547892
Position Surface form Disambiguated ID Type / Status
Subject Chanoines réguliers E577954 entity
Predicate vitDans P152755 FINISHED
Object prieurés 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: prieurés | Statement: [Chanoines réguliers, vitDans, prieurés]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vitDans
Context triple: [Chanoines réguliers, vitDans, prieurés]
  • A. via
    Indicates that something occurs, is achieved, or is connected by means of, through the use of, or along the route of another entity or medium.
  • B. vise
    Indicates that one entity firmly grips, clamps, or holds another in place, typically restricting its movement or separating it from other objects.
  • C. public visé
    Indicates that something is intended for, directed at, or targeting a specific public audience or group.
  • D. vakul
    Indicates a relationship or action between entities, but the specific meaning of the predicate "vakul" is unclear without additional context or definition.
  • E. vei
    Indicates a relationship where one entity is visually perceiving or looking at another entity.
  • F. None of above. chosen

Provenance (4 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aecc2af08190aec07cf9126d4e72 completed April 29, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69f118afabd88190bd88f49597d120e8 completed April 28, 2026, 8:29 p.m.
PDg Predicate description generation batch_69f121cc494081908c987adfcde89b0e completed April 28, 2026, 9:08 p.m.
Created at: April 17, 2026, 6:11 p.m.