Triple
T17369222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Counties League |
E422264
|
entity |
| Predicate | levelOfLowerDivision |
P113950
|
FINISHED |
| Object | step 6 of National League System |
—
|
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: step 6 of National League System | Statement: [United Counties League, levelOfLowerDivision, step 6 of National League System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfLowerDivision Context triple: [United Counties League, levelOfLowerDivision, step 6 of National League System]
-
A.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
B.
typicalLowestLevel
chosen
Indicates that something represents the most basic or minimal level that is commonly or normally found within a given context.
-
C.
lowerCourseName
Indicates that the course’s name is represented in all lowercase characters.
-
D.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
E.
lowerStage
Indicates that one entity is at a lower or earlier stage, level, or phase in a progression or hierarchy than another entity.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.