Triple
T12546127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calixtines |
E299972
|
entity |
| Predicate | compromisedOn |
P105824
|
FINISHED |
| Object | some radical social demands of other Hussites |
—
|
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: some radical social demands of other Hussites | Statement: [Calixtines, compromisedOn, some radical social demands of other Hussites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compromisedOn Context triple: [Calixtines, compromisedOn, some radical social demands of other Hussites]
-
A.
associatedWithCompromise
Indicates a relationship where an entity is linked to, involved in, or affected by a security compromise or breach.
-
B.
riskIfBreached
Indicates that a breach of the referenced entity or condition would expose or create a potential risk or harm.
-
C.
inDangerSince
Indicates that an entity has been in a state of danger continuously starting from a specified point in time.
-
D.
breachedDuring
Indicates that one entity violated, broke, or failed to uphold another entity (such as a rule, contract, or security measure) within a specified time period or event.
-
E.
hasThreats
Indicates that one entity poses or is associated with potential danger, harm, or adverse consequences toward 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.