Triple
T9601702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | softball |
E231864
|
entity |
| Predicate | hasBaseCount |
P89165
|
FINISHED |
| Object | 4 bases |
—
|
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: 4 bases | Statement: [softball, hasBaseCount, 4 bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseCount Context triple: [softball, hasBaseCount, 4 bases]
-
A.
hasBaseIndex
Indicates that one entity serves as the reference or starting index from which another entity’s position, offset, or ordering is calculated.
-
B.
hasBaseQuantity
Indicates that something is associated with or defined in terms of a fundamental underlying quantity.
-
C.
hasSupportBaseIn
Indicates that one entity maintains an operational or organizational base of support located in another entity.
-
D.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
E.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:07 p.m.