Triple
T2465816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton School |
E55244
|
entity |
| Predicate | highSchoolGrades |
P7842
|
FINISHED |
| Object | 9–12 |
—
|
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: 9–12 | Statement: [Dalton School, highSchoolGrades, 9–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolGrades Context triple: [Dalton School, highSchoolGrades, 9–12]
-
A.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
B.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
C.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
D.
highSchoolForMostStudents
Indicates that the referenced school is the primary high school attended by the majority of students in a given group or area.
-
E.
gradeNumber
chosen
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.