Triple
T10293091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston University Terriers athletics |
E241409
|
entity |
| Predicate | NCAAIceHockeyTitles |
P91655
|
FINISHED |
| Object | multiple national championships in men's ice hockey |
—
|
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: multiple national championships in men's ice hockey | Statement: [Boston University Terriers athletics, NCAAIceHockeyTitles, multiple national championships in men's ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAIceHockeyTitles Context triple: [Boston University Terriers athletics, NCAAIceHockeyTitles, multiple national championships in men's ice hockey]
-
A.
iceHockeyNationalTitles
chosen
Indicates the number of national championship titles an entity has won in ice hockey.
-
B.
iceHockeyNationalTitleSeasons
Indicates the seasons in which an entity’s ice hockey team won a national championship title.
-
C.
WorldCupOfHockeyWinner
Indicates the team that won the specified edition of the World Cup of Hockey.
-
D.
worldCupOfHockeyTitles
Indicates the number of World Cup of Hockey championship titles an entity has won.
-
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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.