Triple
T12513861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baseball5 |
E299146
|
entity |
| Predicate | plannedYouthOlympicDebutYear |
P67609
|
FINISHED |
| Object | 2026 |
—
|
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: 2026 | Statement: [Baseball5, plannedYouthOlympicDebutYear, 2026]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedYouthOlympicDebutYear Context triple: [Baseball5, plannedYouthOlympicDebutYear, 2026]
-
A.
youthOlympicDebutYear
chosen
Indicates the year in which an entity first participated in or was introduced to the Youth Olympic Games.
-
B.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
C.
olympicOpeningDate
Indicates the calendar date on which a specific edition of the Olympic Games officially begins with its opening ceremony.
-
D.
OlympicAppearanceYear
Indicates the specific year in which an entity participated in or appeared at the Olympic Games.
-
E.
lastOlympicAppearance
Indicates the most recent occasion on which an entity participated in or was present at the Olympic Games.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.