Triple
T29377244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronson Junior/Senior High School |
E745033
|
entity |
| Predicate | servesGradeUpper |
P3870
|
FINISHED |
| Object | 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: 12 | Statement: [Bronson Junior/Senior High School, servesGradeUpper, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesGradeUpper Context triple: [Bronson Junior/Senior High School, servesGradeUpper, 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.
upperGrade
Indicates that one entity is in a higher grade level than another entity.
-
C.
levelServed
Indicates that a particular service, function, or resource is provided or made available at a specified level or tier.
-
D.
gradeUpper
Indicates that one entity has a higher or superior grade, level, or rank compared to another entity.
-
E.
servedGrades
Indicates that one entity provided or delivered academic grades or evaluations 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 28, 2026, 2:32 p.m.