Triple
T13805856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada at the Pan American Games |
E331758
|
entity |
| Predicate | medalsWonType |
P26560
|
FINISHED |
| Object | gold |
—
|
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 | Statement: [Canada at the Pan American Games, medalsWonType, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalsWonType Context triple: [Canada at the Pan American Games, medalsWonType, gold]
-
A.
medalType
chosen
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
medalTypesAwarded
Indicates the specific types or categories of medals that have been awarded in a given awarding event or context.
-
C.
typeOfMedalEvent
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
D.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
E.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.