Triple
T10646552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central American and Caribbean Games football tournament |
E250848
|
entity |
| Predicate | medalsAwarded |
P92082
|
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: [Central American and Caribbean Games football tournament, medalsAwarded, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalsAwarded Context triple: [Central American and Caribbean Games football tournament, medalsAwarded, gold medal]
-
A.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
medalTypesAwarded
chosen
Indicates the specific types or categories of medals that have been awarded in a given awarding event or context.
-
C.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
D.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
E.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe1cd6081909df9e4dc0fda1f0b |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.