Triple
T28821650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annemarie Moser-Pröll |
E727783
|
entity |
| Predicate | worldCupOverallTitleSeason |
P31746
|
FINISHED |
| Object | 1970–71 |
—
|
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: 1970–71 | Statement: [Annemarie Moser-Pröll, worldCupOverallTitleSeason, 1970–71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupOverallTitleSeason Context triple: [Annemarie Moser-Pröll, worldCupOverallTitleSeason, 1970–71]
-
A.
WorldCupOverallTitleSeason
chosen
Indicates the season or year in which an entity secured an overall World Cup title.
-
B.
WorldCupSeasonTitle
Indicates that an entity is the official title or name assigned to a particular FIFA World Cup season or edition.
-
C.
worldCupSeasonTitles
Indicates the number or list of World Cup season titles associated with an entity (such as a team, player, or nation).
-
D.
WorldCupSeasonTitles
Indicates the number of World Cup titles an entity has won in a given season or across seasons.
-
E.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 28, 2026, 6:34 a.m.