Triple
T9615138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Land Space Cowboys |
E232199
|
entity |
| Predicate | originalClassLevel |
P7279
|
FINISHED |
| Object | Independent league |
—
|
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: Independent league | Statement: [Sugar Land Space Cowboys, originalClassLevel, Independent league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalClassLevel Context triple: [Sugar Land Space Cowboys, originalClassLevel, Independent league]
-
A.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
-
B.
classOrigin
Indicates the original class or category from which an entity is derived, instantiated, or classified.
-
C.
classificationLevel
chosen
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
D.
exampleClass
Indicates that the subject belongs to, is categorized under, or serves as an instance of a particular class or type.
-
E.
primaryClass
Indicates that one entity is the main or principal classification category to which another entity belongs.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aabb6b88190b53547db885e0129 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.