Triple
T13730074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste de La Salle |
E329772
|
entity |
| Predicate | dateOfDiaconate |
P111338
|
FINISHED |
| Object | 1677 |
—
|
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: 1677 | Statement: [Jean-Baptiste de La Salle, dateOfDiaconate, 1677]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfDiaconate Context triple: [Jean-Baptiste de La Salle, dateOfDiaconate, 1677]
-
A.
ordainedBy
Indicates that an entity has been formally appointed, consecrated, or invested with authority by another entity.
-
B.
wasOrdainedAs
Indicates that an entity was formally appointed or consecrated into an official religious or ceremonial role.
-
C.
consecrationDate
Indicates the date on which something (typically a building, object, or person) was formally dedicated or made sacred through a religious or ceremonial act.
-
D.
consecratedAsBishopIn
Indicates that a person was formally ordained and installed as a bishop within a specified place, diocese, or jurisdiction.
-
E.
ordainedLaterKnownAs
Indicates that an entity was ordained under one name or identity and later became known by a different name or identity.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.