Triple
T36508343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotland national rugby sevens team |
E899829
|
entity |
| Predicate | sevensWorldCupAppearances |
P185785
|
FINISHED |
| Object | multiple |
—
|
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 | Statement: [Scotland national rugby sevens team, sevensWorldCupAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sevensWorldCupAppearances Context triple: [Scotland national rugby sevens team, sevensWorldCupAppearances, multiple]
-
A.
worldCupAppearancesCount
Indicates the number of times an entity has participated in the FIFA World Cup tournament.
-
B.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
C.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
D.
worldCupFinalAppearances
Indicates the number of times an entity has participated in a FIFA World Cup final match.
-
E.
worldCupFinalAppearance
Indicates that an entity has participated in the final match of a FIFA World Cup tournament.
- F. None of above. chosen
Provenance (4 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.