Triple
T25012188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis Kutis S.C. |
E626019
|
entity |
| Predicate | talentDevelopmentFocus |
P155709
|
FINISHED |
| Object | adult amateur players |
—
|
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: adult amateur players | Statement: [St. Louis Kutis S.C., talentDevelopmentFocus, adult amateur players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talentDevelopmentFocus Context triple: [St. Louis Kutis S.C., talentDevelopmentFocus, adult amateur players]
-
A.
skillEmphasis
Indicates that a particular skill is given special focus, priority, or importance within a context such as a role, task, or curriculum.
-
B.
developsSkill
Indicates that one entity causes or contributes to the growth, improvement, or acquisition of a particular skill in another entity.
-
C.
recruitingFocus
Indicates that an entity’s recruitment efforts are specifically directed toward or concentrated on another entity or group.
-
D.
notableAreaOfDevelopment
chosen
Indicates that a particular field, domain, or aspect is a significant focus or area of development for the subject.
-
E.
aimsToDevelop
Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:05 a.m.