Triple
T1472237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Christ the King Sovereign Priest |
E27159
|
entity |
| Predicate | clericalDress |
P6085
|
FINISHED |
| Object | blue Roman cassock with red piping |
—
|
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: blue Roman cassock with red piping | Statement: [Institute of Christ the King Sovereign Priest, clericalDress, blue Roman cassock with red piping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalDress Context triple: [Institute of Christ the King Sovereign Priest, clericalDress, blue Roman cassock with red piping]
-
A.
ceremonialDressFeature
chosen
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
B.
hasDressCode
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
wearsOnUniform
Indicates that an item is part of and is worn as a component of a uniform.
-
E.
ecclesiasticalStyle
Indicates the formal religious or clerical style or title by which an ecclesiastical person is properly addressed.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.