Triple
T2421665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carthusian Rite |
E53431
|
entity |
| Predicate | degreeOfChangeAfterTrent |
P13888
|
FINISHED |
| Object | minimal |
—
|
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: minimal | Statement: [Carthusian Rite, degreeOfChangeAfterTrent, minimal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfChangeAfterTrent Context triple: [Carthusian Rite, degreeOfChangeAfterTrent, minimal]
-
A.
voterTurnoutChange
Indicates the amount or direction of change in voter turnout between two elections or time periods.
-
B.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
C.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
D.
notableChange
chosen
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
E.
previousTermLengthChangedIn
Indicates that the duration or length of the immediately preceding term has been modified within a specified context or period.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.