Triple
T453959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed Sacrament |
E7190
|
entity |
| Predicate | liturgicalColorOfVeil |
P4602
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Blessed Sacrament, liturgicalColorOfVeil, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalColorOfVeil Context triple: [Blessed Sacrament, liturgicalColorOfVeil, white]
-
A.
hasLiturgicalColor
chosen
Indicates that something is associated with a specific liturgical color used in religious rites or ceremonies.
-
B.
veilName
Indicates that an entity is associated with or identified by a particular veil-related name or alias.
-
C.
veilCustom
Indicates a customary or traditional practice involving the wearing or use of a veil.
-
D.
liturgicalTheme
Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
-
E.
liturgicalSetting
Indicates the specific religious or worship context in which a liturgical text, action, or element is intended to be used.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef866e848190a5b700250ec56256 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.