Triple
T9479207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand national rugby sevens team |
E228588
|
entity |
| Predicate | olympicMedals |
P21541
|
FINISHED |
| Object | multiple Olympic medals in rugby sevens |
—
|
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: multiple Olympic medals in rugby sevens | Statement: [New Zealand national rugby sevens team, olympicMedals, multiple Olympic medals in rugby sevens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicMedals Context triple: [New Zealand national rugby sevens team, olympicMedals, multiple Olympic medals in rugby sevens]
-
A.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
B.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
C.
totalOlympicMedals
chosen
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
D.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
E.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8014fd0c819093bd15816f3db357 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:54 p.m.