Triple
T12720676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildwood Middle School |
E303970
|
entity |
| Predicate | maximumGrade |
P52185
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Wildwood Middle School, maximumGrade, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumGrade Context triple: [Wildwood Middle School, maximumGrade, 8]
-
A.
hasMaximumGrade
chosen
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
B.
highestTestScore
Indicates that one entity has achieved the greatest test score among a specified set or in a given context.
-
C.
highestPass
Indicates that an entity has achieved the greatest passing value, score, or level among a set of compared entities.
-
D.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
E.
maximumGradient
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.