Triple
T37003605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota high school football state tournament |
E915721
|
entity |
| Predicate | hasMultipleClasses |
P62241
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Minnesota high school football state tournament, hasMultipleClasses, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleClasses Context triple: [Minnesota high school football state tournament, hasMultipleClasses, yes]
-
A.
hasTwoClasses
Indicates that an entity is associated with exactly two distinct classes or categories.
-
B.
hasThreeClasses
Indicates that an entity is associated with exactly three distinct classes.
-
C.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
D.
hasMultipleSubclasses
Indicates that a class or category is related to more than one distinct subclass within a hierarchy.
-
E.
isMultiClass
Indicates that an entity simultaneously belongs to or is classified under more than one class or category.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 3, 2026, 4:14 p.m.