Triple
T34884706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | чемпионат мира по хоккею с шайбой 2008 |
E1006111
|
entity |
| Predicate | количество команд |
P181828
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [чемпионат мира по хоккею с шайбой 2008, количество команд, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: количество команд Context triple: [чемпионат мира по хоккею с шайбой 2008, количество команд, 16]
-
A.
typicallyCommandsSize
Indicates that one entity normally determines or specifies the size or magnitude of another entity.
-
B.
numberOfTrainingCommands
Indicates the total count of training commands or instructions associated with an entity or process.
-
C.
numberOfStrategicCommands
Indicates the quantity of strategic commands associated with or issued by a given entity.
-
D.
numberOfOperationalCommands
Indicates the total count of operational command units or directives associated with a given entity or context.
-
E.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.