Triple
T18908723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech First League |
E462538
|
entity |
| Predicate | usesVideoAssistantReferee |
P107103
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Czech First League, usesVideoAssistantReferee, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVideoAssistantReferee Context triple: [Czech First League, usesVideoAssistantReferee, yes]
-
A.
videoAssistantRefereeInUse
chosen
Indicates that a video assistant referee system is currently being used to review or assist with officiating decisions.
-
B.
videoReplayUsed
Indicates that a video replay was utilized to review or analyze a prior event or action.
-
C.
usesInstantReplay
Indicates that an entity employs instant replay technology or review during an event, action, or decision process.
-
D.
hasVideoRecording
Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
-
E.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52eed1881908929dace845ae008 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.