Triple
T675989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia men's national ice hockey team |
E13077
|
entity |
| Predicate | hasProducedManyNHLPlayers |
P5829
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Russia men's national ice hockey team, hasProducedManyNHLPlayers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducedManyNHLPlayers Context triple: [Russia men's national ice hockey team, hasProducedManyNHLPlayers, true]
-
A.
producedNFLPlayers
Indicates that one entity has been the origin, source, or training ground for individuals who later became NFL players.
-
B.
notableHallOfFamer
Indicates that the subject is recognized as a particularly distinguished or prominent member of a hall of fame.
-
C.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
-
D.
hasNotablePlayer
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
-
E.
producedLeaguePlayers
chosen
Indicates that an entity has developed or given rise to players who went on to participate in a specified league.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04b2ae881908a5c23453bef8572 |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.