Triple
T1238067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Sainte-Anne-de-Beaupré |
E26592
|
entity |
| Predicate | firstChapelBuilt |
P24857
|
FINISHED |
| Object | 1658 |
—
|
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: 1658 | Statement: [Basilica of Sainte-Anne-de-Beaupré, firstChapelBuilt, 1658]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChapelBuilt Context triple: [Basilica of Sainte-Anne-de-Beaupré, firstChapelBuilt, 1658]
-
A.
firstBishop
Indicates that one entity is the first bishop (earliest in time or rank) associated with or holding episcopal authority over another entity.
-
B.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
C.
cathedralDedication
Indicates the religious figure, event, or concept to which a cathedral is formally dedicated.
-
D.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
E.
firstRevelationPlace
Indicates the location where something (typically a text, message, or revelation) was first revealed or disclosed.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf406b988190a12aa26bbcb88d6a |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.