Triple
T14489772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decet Romanum Pontificem |
E359329
|
entity |
| Predicate | hasCanonicalPenalty |
P114429
|
FINISHED |
| Object | major excommunication |
—
|
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: major excommunication | Statement: [Decet Romanum Pontificem, hasCanonicalPenalty, major excommunication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalPenalty Context triple: [Decet Romanum Pontificem, hasCanonicalPenalty, major excommunication]
-
A.
hasCanonicalTerm
Indicates that one term in a set is designated as the standard or authoritative form used to represent a concept or entity.
-
B.
supportsPenalty
Indicates that one entity endorses, approves of, or is in favor of a particular penalty being applied to another entity or situation.
-
C.
hasCanonicalProblem
Indicates that an entity is associated with, or exemplifies, a standard or canonical problem instance used to represent its core issue or challenge.
-
D.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
E.
hasCanonicalRelevance
Indicates that something is considered standard, authoritative, or centrally important within an established canon or reference framework.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.