Triple
T9977195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Argentina |
E196361
|
entity |
| Predicate | firstEditionStartYear |
P19469
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Copa Argentina, firstEditionStartYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionStartYear Context triple: [Copa Argentina, firstEditionStartYear, 1969]
-
A.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
B.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
-
C.
hasFirstEditionYear
chosen
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84d0d3c8190b268582bb79c8973 |
completed | April 2, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.