Triple
T36346799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States men's national water polo team |
E895085
|
entity |
| Predicate | bestPanAmericanGamesResult |
P155835
|
FINISHED |
| Object | gold medal |
—
|
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: gold medal | Statement: [United States men's national water polo team, bestPanAmericanGamesResult, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestPanAmericanGamesResult Context triple: [United States men's national water polo team, bestPanAmericanGamesResult, gold medal]
-
A.
panAmericanGames
Indicates that an entity is associated with, participates in, or is otherwise related to the Pan American Games multi-sport event.
-
B.
PanAmericanGamesMedal
chosen
Indicates that an entity has been awarded a medal in a Pan American Games event.
-
C.
bestCopaAmericaResult
Indicates the highest achievement or furthest stage a team has reached in any edition of the Copa América tournament.
-
D.
PanAmericanGamesGoldYear
Indicates the year in which an entity won a gold medal at the Pan American Games.
-
E.
bestCopaAmericaResultYear
Indicates the year in which an entity achieved its best (highest) result in the Copa América tournament.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.