Triple
T30950965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svatá Hora |
E788539
|
entity |
| Predicate | patronOrder |
P170827
|
FINISHED |
| Object | Jesuits |
—
|
NE NERFINISHED |
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: Jesuits | Statement: [Svatá Hora, patronOrder, Jesuits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patronOrder Context triple: [Svatá Hora, patronOrder, Jesuits]
-
A.
orderDisplayed
Indicates that a particular order is currently being shown or presented in a user interface or display context.
-
B.
orderSystem
Indicates a relationship where one entity organizes, arranges, or structures another entity or set of entities into a coherent or regulated system.
-
C.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
-
D.
orderParameterOf
Indicates that one entity is an order parameter that characterizes the state or phase behavior of another entity.
-
E.
recognizesOrders
Indicates that one entity formally acknowledges and accepts the orders or directives issued by another entity.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:53 p.m.