Triple
T4297338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nürnberg Ice Tigers |
E99745
|
entity |
| Predicate | hasShootoutInLeague |
P55313
|
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: [Nürnberg Ice Tigers, hasShootoutInLeague, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShootoutInLeague Context triple: [Nürnberg Ice Tigers, hasShootoutInLeague, yes]
-
A.
hasPlayOffs
Indicates that a competition, league, or season includes a playoff stage to determine final rankings or a champion.
-
B.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
C.
hasPostseasonEvent
Indicates that an entity is associated with or participates in a postseason event, such as playoffs or championships, following a regular season.
-
D.
hasPlayoffMeetings
Indicates that the entities have faced each other in playoff competitions or postseason matchups.
-
E.
hasTopTenShootout
Indicates that an entity is involved in or associated with a top ten shootout event, typically a competitive session determining the ten fastest or best performers.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509bff808190a86fade7ccfc3611 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.