Triple
T11752366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglican realignment |
E279437
|
entity |
| Predicate | grewSignificantlyIn |
P24285
|
FINISHED |
| Object | early 21st century |
—
|
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: early 21st century | Statement: [Anglican realignment, grewSignificantlyIn, early 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewSignificantlyIn Context triple: [Anglican realignment, grewSignificantlyIn, early 21st century]
-
A.
spurredGrowthOf
Indicates that one entity actively stimulated, accelerated, or caused an increase or expansion in another entity’s size, activity, or development.
-
B.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
C.
significantlyIntensifiedAfter
Indicates that one condition, effect, or quality became much stronger or more pronounced following another event or state.
-
D.
hadGrowthPeriod
chosen
Indicates that an entity experienced a specific span of time during which it underwent growth or development.
-
E.
expandedSignificantlyInYear
Indicates that an entity underwent a substantial increase or growth during a specified year.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.