Triple
T9958460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Black Bears |
E195502
|
entity |
| Predicate | iceHockeyNationalTitles |
P91655
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Maine Black Bears, iceHockeyNationalTitles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceHockeyNationalTitles Context triple: [Maine Black Bears, iceHockeyNationalTitles, 2]
-
A.
worldCupOfHockeyTitles
Indicates the number of World Cup of Hockey championship titles an entity has won.
-
B.
WorldCupOfHockeyWinner
Indicates the team that won the specified edition of the World Cup of Hockey.
-
C.
euroHockeyTourTitles
Indicates the number of Euro Hockey Tour championship titles an entity has won.
-
D.
olympicIceHockeyGoldMedals
Indicates the number of Olympic gold medals won in ice hockey by an entity (typically a team or country).
-
E.
worldCupOfHockeyBestResult
Indicates the best performance or highest achievement an entity has attained in the World Cup of Hockey tournament.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cec7dc8190bb7e43c82a317707 |
completed | April 2, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:46 p.m.