Triple
T2568677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwest League |
E57612
|
entity |
| Predicate | hasClassLevel |
P33477
|
FINISHED |
| Object | Single-A |
—
|
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: Single-A | Statement: [Midwest League, hasClassLevel, Single-A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassLevel Context triple: [Midwest League, hasClassLevel, Single-A]
-
A.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
B.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
C.
hasCategoryLevel
chosen
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
D.
hasHigherClass
Indicates that one entity belongs to a higher rank, level, or category in a hierarchy than another entity.
-
E.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd36191848190b6255fa9029429bd |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.