Triple
T36889289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prior General of the Carthusian Order |
E911696
|
entity |
| Predicate | basedInMonastery |
P124401
|
FINISHED |
| Object | Grande Chartreuse |
—
|
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: Grande Chartreuse | Statement: [Prior General of the Carthusian Order, basedInMonastery, Grande Chartreuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInMonastery Context triple: [Prior General of the Carthusian Order, basedInMonastery, Grande Chartreuse]
-
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.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
D.
wasMonkOf
Indicates that a person was a member or monk belonging to a particular religious order, monastery, or monastic community.
-
E.
monasticResidence
chosen
Indicates that one entity serves as the place of residence for a monastic individual or community.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:13 p.m.