Triple
T12513775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBSC Baseball World Rankings |
E299144
|
entity |
| Predicate | entityTypeRanked |
P105352
|
FINISHED |
| Object | national federation teams |
—
|
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: national federation teams | Statement: [WBSC Baseball World Rankings, entityTypeRanked, national federation teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entityTypeRanked Context triple: [WBSC Baseball World Rankings, entityTypeRanked, national federation teams]
-
A.
numberOfRankedEntities
Indicates the total count of entities that have been assigned a rank within a given ranking or ordered set.
-
B.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
C.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
D.
rankExamples
Indicates that one entity orders or scores a set of examples relative to each other, typically by relevance, quality, or importance.
-
E.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.