Triple
T28821677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annemarie Moser-Pröll |
E727783
|
entity |
| Predicate | hasWorldCupOverallTitleRecord |
P184851
|
FINISHED |
| Object | most women’s overall titles at time of retirement |
—
|
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: most women’s overall titles at time of retirement | Statement: [Annemarie Moser-Pröll, hasWorldCupOverallTitleRecord, most women’s overall titles at time of retirement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldCupOverallTitleRecord Context triple: [Annemarie Moser-Pröll, hasWorldCupOverallTitleRecord, most women’s overall titles at time of retirement]
-
A.
worldCupRecord
Indicates a relationship that specifies an entity’s performance statistics or achievements in FIFA World Cup competitions.
-
B.
WorldCupOverallTitles
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
-
C.
WorldCupOverallTitlesConsecutive
Indicates the number of times an entity has won World Cup overall titles in consecutive editions without interruption.
-
D.
numberOfWorldCupWins
Indicates how many times an entity has won the FIFA World Cup tournament.
-
E.
sharedMostWorldCupTitlesWith
Indicates that two entities hold the same highest number of World Cup titles compared to all other entities.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 28, 2026, 6:34 a.m.