Triple
T2348367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Rookie of the Year |
E45184
|
entity |
| Predicate | laterSplitInto |
P12217
|
FINISHED |
| Object | separate American League and National League Rookie of the Year awards |
—
|
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: separate American League and National League Rookie of the Year awards | Statement: [American League Rookie of the Year, laterSplitInto, separate American League and National League Rookie of the Year awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSplitInto Context triple: [American League Rookie of the Year, laterSplitInto, separate American League and National League Rookie of the Year awards]
-
A.
separatedInto
chosen
Indicates that something has been divided or split into distinct parts, groups, or components.
-
B.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
C.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
D.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
E.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.