Triple
T6438585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goose Goslin |
E129960
|
entity |
| Predicate | statisticalCategory |
P40641
|
FINISHED |
| Object | runs batted in |
—
|
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: runs batted in | Statement: [Goose Goslin, statisticalCategory, runs batted in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalCategory Context triple: [Goose Goslin, statisticalCategory, runs batted in]
-
A.
statisticalType
chosen
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
B.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
C.
statisticsType
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
-
D.
statisticalDefinitionUsedBy
Indicates that a particular statistical definition is employed or applied by a given entity (such as a method, model, or analysis).
-
E.
hasStatisticalLeaderCategory
Indicates that an entity is associated with a specific category under which it is recognized as a statistical leader (e.g., in performance metrics or records).
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06965a5d48190a5860da9e22dc6e0 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.