Triple
T30234952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Middle School |
E768737
|
entity |
| Predicate | hasGradeConfiguration |
P174723
|
FINISHED |
| Object | 6–8 |
—
|
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: 6–8 | Statement: [Hill Middle School, hasGradeConfiguration, 6–8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradeConfiguration Context triple: [Hill Middle School, hasGradeConfiguration, 6–8]
-
A.
hasGradeType
Indicates that an entity is associated with a particular category or type of grade (e.g., letter grade, pass/fail, percentage).
-
B.
hasGradeStatus
Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
-
C.
hasGradeSystem
Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
-
D.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
-
E.
hasAtGradeStructure
Indicates that one entity includes or is associated with a structure located at ground level (at grade).
- F. None of above. chosen
Provenance (4 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 29, 2026, 7:37 p.m.