Triple
T28768718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Hirscher |
E726348
|
entity |
| Predicate | WorldCupOverallTitlesEndYear |
P184367
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Marcel Hirscher, WorldCupOverallTitlesEndYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupOverallTitlesEndYear Context triple: [Marcel Hirscher, WorldCupOverallTitlesEndYear, 2019]
-
A.
WorldCupOverallTitlesStartYear
Indicates the year in which an entity’s count of overall World Cup titles begins to be considered or recorded.
-
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.
WorldCupSeasonTitles
Indicates the number of World Cup titles an entity has won in a given season or across seasons.
-
E.
worldCupSeasonTitles
Indicates the number or list of World Cup season titles associated with an entity (such as a team, player, or nation).
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 28, 2026, 6:14 a.m.