Triple
T23547878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanoines réguliers |
E577954
|
entity |
| Predicate | activitéPrincipale |
P8834
|
FINISHED |
| Object | célébration de la liturgie des Heures |
—
|
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: célébration de la liturgie des Heures | Statement: [Chanoines réguliers, activitéPrincipale, célébration de la liturgie des Heures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activitéPrincipale Context triple: [Chanoines réguliers, activitéPrincipale, célébration de la liturgie des Heures]
-
A.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
B.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
-
D.
activityFocus
Indicates that an activity is primarily directed toward, centered on, or concerned with a particular object, topic, or goal.
-
E.
activityTheme
Indicates that an activity is centered around, focused on, or characterized by a particular theme.
- 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_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. |
Created at: April 17, 2026, 6:11 p.m.