Triple
T3667296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Island School |
E77790
|
entity |
| Predicate | servesGradeRange |
P3870
|
FINISHED |
| Object | K–12 |
—
|
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: K–12 | Statement: [Washington Island School, servesGradeRange, K–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesGradeRange Context triple: [Washington Island School, servesGradeRange, K–12]
-
A.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
B.
servesAgeRange
Indicates that a service, product, or offering is intended for or applicable to entities within a specified age range.
-
C.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
D.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
E.
offersGrades
Indicates that one entity provides or assigns academic grades to 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc402f5dc8190bd8d56a3c06e88f3 |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.