Triple
T33546068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazakhstan Super Cup |
E859208
|
entity |
| Predicate | formatStability |
P81575
|
FINISHED |
| Object | relatively consistent since inception |
—
|
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: relatively consistent since inception | Statement: [Kazakhstan Super Cup, formatStability, relatively consistent since inception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatStability Context triple: [Kazakhstan Super Cup, formatStability, relatively consistent since inception]
-
A.
formedStable
Indicates that a relationship, structure, or configuration has come into existence and remains consistently intact or unchanged over time.
-
B.
formatStatus
Indicates the current state or condition of a particular format, such as whether it is valid, active, or in use.
-
C.
hasStabilityLevel
Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
-
D.
stabilityDescription
chosen
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
E.
isStable
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:39 a.m.