Triple
T25860573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regnans in Excelsis |
E651466
|
entity |
| Predicate | subjectOfDecree |
P102597
|
FINISHED |
| Object | excommunication of Elizabeth I of England |
—
|
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: excommunication of Elizabeth I of England | Statement: [Regnans in Excelsis, subjectOfDecree, excommunication of Elizabeth I of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfDecree Context triple: [Regnans in Excelsis, subjectOfDecree, excommunication of Elizabeth I of England]
-
A.
subjectOfDecreeBy
chosen
Indicates that an entity is the topic or matter formally addressed, regulated, or decided upon in an official decree issued by another entity.
-
B.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
C.
subjectOfRule
Indicates that an entity is governed, constrained, or described by a particular rule.
-
D.
relatedDecree
Indicates that one entity has a decree, order, or formal directive that is connected, associated, or otherwise relevant to another entity.
-
E.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 22, 2026, 8:05 a.m.