Triple
T38458936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carthusian nuns |
E912395
|
entity |
| Predicate | hasFemaleBranchOf |
P75773
|
FINISHED |
| Object | Carthusian Order |
—
|
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: Carthusian Order | Statement: [Carthusian nuns, hasFemaleBranchOf, Carthusian Order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleBranchOf Context triple: [Carthusian nuns, hasFemaleBranchOf, Carthusian Order]
-
A.
femaleBranch
chosen
Indicates that one entity is a female branch or female-line subdivision of another entity within a hierarchical or genealogical structure.
-
B.
genderBranches
Indicates a relationship that specifies the gender composition or gender-based categorization of branches within an organization or structure.
-
C.
hasFamilyBranch
Indicates that one entity is a subdivision, offshoot, or branch within the broader family group or lineage of another entity.
-
D.
heirThroughFemaleLine
Indicates that one entity is the heir of another specifically through a lineage traced via female ancestors.
-
E.
ethnicBranchOf
Indicates that one ethnic group is a sub-group, offshoot, or branch of another, broader ethnic group.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:31 p.m.