Triple
T3561500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominican Republic national baseball team |
E75348
|
entity |
| Predicate | usesBattingHand |
P8296
|
FINISHED |
| Object | right-handed and left-handed batters |
—
|
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: right-handed and left-handed batters | Statement: [Dominican Republic national baseball team, usesBattingHand, right-handed and left-handed batters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBattingHand Context triple: [Dominican Republic national baseball team, usesBattingHand, right-handed and left-handed batters]
-
A.
battingHand
chosen
Indicates the handedness a player uses when batting, such as right-handed, left-handed, or switch.
-
B.
usesPitchingHandedness
Indicates that an entity performs pitching using a specified handedness (e.g., left-handed or right-handed).
-
C.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
D.
usesWoodBats
Indicates that the subject performs an action or participates in an activity using bats made of wood rather than other materials.
-
E.
handedness
Indicates the preference or dominance of one hand over the other in performing actions or tasks.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08ac1b0819082021ecdd0061dc3 |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.