Triple
T919593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul-de-Mausole asylum |
E19852
|
entity |
| Predicate | inceptionAsMonastery |
P22380
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Saint-Paul-de-Mausole asylum, inceptionAsMonastery, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsMonastery Context triple: [Saint-Paul-de-Mausole asylum, inceptionAsMonastery, Middle Ages]
-
A.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
B.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
C.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
D.
inceptionCentury
Indicates the century during which something (such as an institution, tradition, or practice) was originally founded or began.
-
E.
importantMonastery
Indicates that a monastery holds significant religious, historical, or cultural importance relative to others.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.