Triple
T4449261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Thunderbirds |
E96366
|
entity |
| Predicate | wonWHLChampionshipTitle |
P12322
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Seattle Thunderbirds, wonWHLChampionshipTitle, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWHLChampionshipTitle Context triple: [Seattle Thunderbirds, wonWHLChampionshipTitle, 2017]
-
A.
hasWonStanleyCup
Indicates that the subject (typically a team or player) has won at least one National Hockey League Stanley Cup championship.
-
B.
StanleyCupChampion
Indicates that an entity is the team or individual that won the Stanley Cup championship in a given season.
-
C.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
-
D.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
StanleyCupChampionships
Indicates the number of times an entity has won the Stanley Cup championship.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d5975c8190bfe8a2d5d2dbf075 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.