Triple
T2441738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States at the 2014 Winter Olympics |
E53290
|
entity |
| Predicate | menIceHockeyResult |
P39353
|
FINISHED |
| Object | 4th place |
—
|
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: 4th place | Statement: [United States at the 2014 Winter Olympics, menIceHockeyResult, 4th place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menIceHockeyResult Context triple: [United States at the 2014 Winter Olympics, menIceHockeyResult, 4th place]
-
A.
worldCupOfHockeyBestResult
Indicates the best performance or highest achievement an entity has attained in the World Cup of Hockey tournament.
-
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.
preKHLLeague
Indicates that an entity participated in or was associated with the KHL (Kontinental Hockey League) before the league’s official formation or current structure.
-
E.
iceHockeyAffiliation
Indicates an affiliation relationship between an entity and an ice hockey organization, such as a team, league, or club.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcebe7dd08190b197a2a0e78787e3 |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 6, 2026, 9:43 p.m.