Triple
T13087052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Imitation of Christ |
E310362
|
entity |
| Predicate | hasMotherhouseType |
P107977
|
FINISHED |
| Object | ashram-style monastery |
—
|
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: ashram-style monastery | Statement: [Order of the Imitation of Christ, hasMotherhouseType, ashram-style monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotherhouseType Context triple: [Order of the Imitation of Christ, hasMotherhouseType, ashram-style monastery]
-
A.
hasMotherhouseLocation
Indicates the location where an organization’s primary or founding house (motherhouse) is situated.
-
B.
hasParentHouse
Indicates that an entity is associated with or belongs to a specific parent house within a hierarchical or familial structure.
-
C.
hasHouseholdType
Indicates the type or category of household associated with an entity (e.g., family, single-person, shared, etc.).
-
D.
motherhouseOf
Indicates that one religious community or congregation serves as the principal or founding house (central residence and administrative center) of another related community.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:02 p.m.