Triple
T19893216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | セ・リーグ新人王 |
E478082
|
entity |
| Predicate | hasParallelAward |
P36152
|
FINISHED |
| Object | パシフィック・リーグ最優秀新人 |
—
|
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: パシフィック・リーグ最優秀新人 | Statement: [セ・リーグ新人王, hasParallelAward, パシフィック・リーグ最優秀新人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParallelAward Context triple: [セ・リーグ新人王, hasParallelAward, パシフィック・リーグ最優秀新人]
-
A.
isParallelAward
chosen
Indicates that one award is given in parallel to another, typically at the same time or in a corresponding category or context.
-
B.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
-
C.
hasEquivalentAward
Indicates that one award corresponds to or matches another award in value, status, or recognition.
-
D.
hasSubsequentAward
Indicates that an entity has received an additional award that follows a previous award in time or sequence.
-
E.
hasRelativeWithAward
Indicates that one entity has a relative who has received an award.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.