Triple
T19043073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paroisse Notre-Dame du Raincy |
E466056
|
entity |
| Predicate | offersPastoralActivities |
P29079
|
FINISHED |
| Object | catechesis |
—
|
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: catechesis | Statement: [Paroisse Notre-Dame du Raincy, offersPastoralActivities, catechesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPastoralActivities Context triple: [Paroisse Notre-Dame du Raincy, offersPastoralActivities, catechesis]
-
A.
pastoralActivities
chosen
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
B.
offersActivity
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
-
C.
offersDayPlacesTo
Indicates that one entity provides or makes available daytime places or slots to another entity.
-
D.
offersAttraction
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
E.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d801ef188190a231e85e1bbce037 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.