Triple
T23547898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanoines réguliers |
E577954
|
entity |
| Predicate | peutComprendre |
P152756
|
FINISHED |
| Object | prêtres |
—
|
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: prêtres | Statement: [Chanoines réguliers, peutComprendre, prêtres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peutComprendre Context triple: [Chanoines réguliers, peutComprendre, prêtres]
-
A.
canBeUnderstoodBy
Indicates that something is comprehensible or interpretable to a particular entity or group.
-
B.
comprende
Indicates that one entity includes, contains, or encompasses another as a part or component.
-
C.
understands
Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
-
D.
languageCapacity
Indicates the extent to which an entity is able to understand, produce, or otherwise use language.
-
E.
canBeThoughtBy
Indicates that something is capable of being conceived, imagined, or mentally represented by a thinking 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.