Triple
T26983938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbaye de Sénanque |
E679680
|
entity |
| Predicate | monksFollow |
P99929
|
FINISHED |
| Object | Rule of Saint Benedict |
—
|
NE NERFINISHED |
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: Rule of Saint Benedict | Statement: [Abbaye de Sénanque, monksFollow, Rule of Saint Benedict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monksFollow Context triple: [Abbaye de Sénanque, monksFollow, Rule of Saint Benedict]
-
A.
numberOfMonks
Indicates the quantity or count of monks associated with a given entity or context.
-
B.
wasMonkOf
Indicates that a person was a member or monk belonging to a particular religious order, monastery, or monastic community.
-
C.
notableMonk
Indicates that a person is recognized as a monk of particular significance, prominence, or historical importance.
-
D.
monasteryOrder
chosen
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
-
E.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621588b5881908f7a272c8a15fcf2 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:47 a.m.