Triple
T36126019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brothers of Charity |
E1044881
|
entity |
| Predicate | religiousHabitColor |
P201154
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Brothers of Charity, religiousHabitColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousHabitColor Context triple: [Brothers of Charity, religiousHabitColor, black]
-
A.
sacredColor
Indicates that a particular color is regarded as holy, revered, or religiously significant in relation to an entity or context.
-
B.
hasLiturgicalColor
Indicates that something is associated with a specific liturgical color used in religious rites or ceremonies.
-
C.
usesLiturgicalColors
Indicates that one entity employs or applies specific liturgical colors in relation to another entity, typically within a religious or ceremonial context.
-
D.
colorInIconography
Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
-
E.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:08 p.m.