Triple
T262858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Catholicism |
E5787
|
entity |
| Predicate | separationCause |
P694
|
FINISHED |
| Object | rejection of papal infallibility |
—
|
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: rejection of papal infallibility | Statement: [Old Catholicism, separationCause, rejection of papal infallibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separationCause Context triple: [Old Catholicism, separationCause, rejection of papal infallibility]
-
A.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
B.
separationYear
Indicates the year in which two entities ended or dissolved their relationship or association.
-
C.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
E.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
- 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_69a258dd8ea08190ac554a1cc8dfd8c3 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NER | Named-entity recognition | batch_69a25d8c7f448190af9145256f994177 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.