Triple
T19971344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyprus at the Summer Olympics |
E480082
|
entity |
| Predicate | medalCountTotal |
P21541
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Cyprus at the Summer Olympics, medalCountTotal, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalCountTotal Context triple: [Cyprus at the Summer Olympics, medalCountTotal, 1]
-
A.
totalOlympicMedals
chosen
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
B.
overallRankByTotalMedals
Indicates the relative ordering of entities based on the total number of medals they have earned, from highest to lowest.
-
C.
mostTotalMedalsBy
Indicates that one entity holds the highest total number of medals in comparison to another entity or group.
-
D.
totalOlympicGoldMedals
Indicates the total number of Olympic gold medals that an entity has won.
-
E.
USMedalsTotal
Indicates the total number of medals won by the United States in a given competition or event.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.