Triple
T15450370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirklees Priory |
E370133
|
entity |
| Predicate | partOfMonasticOrderFamily |
P99929
|
FINISHED |
| Object | Cistercian houses in England |
—
|
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: Cistercian houses in England | Statement: [Kirklees Priory, partOfMonasticOrderFamily, Cistercian houses in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMonasticOrderFamily Context triple: [Kirklees Priory, partOfMonasticOrderFamily, Cistercian houses in England]
-
A.
religiousOrderFamilyType
Indicates the type or category of religious order to which a given religious family or group belongs.
-
B.
monasteryOrder
chosen
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
-
C.
monasteryAffiliation
Indicates a relationship where an entity is formally associated with, belongs to, or is under the authority of a particular monastery.
-
D.
religiousOrderAssociation
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
-
E.
religiousOrderOrRole
Indicates that an entity has a specific religious affiliation, order, or role within a religious tradition.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.