Triple
T1254785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic traditionalism |
E26961
|
entity |
| Predicate | prefers |
P12179
|
FINISHED |
| Object | ad orientem celebration of the Mass |
—
|
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: ad orientem celebration of the Mass | Statement: [Catholic traditionalism, prefers, ad orientem celebration of the Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefers Context triple: [Catholic traditionalism, prefers, ad orientem celebration of the Mass]
-
A.
favored
chosen
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
B.
preparationPreference
Indicates how an entity prefers something to be prepared, processed, or made ready (e.g., style, method, or conditions of preparation).
-
C.
substratePreference
Indicates a relationship where an entity tends to occur on, grow in, or utilize a particular physical material or medium as its preferred substrate.
-
D.
preempts
Indicates that one action, decision, or rule takes priority over and prevents the application or effect of another.
-
E.
givesFirstPickTo
Indicates that one entity grants another entity the right to choose first among available options.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.