Triple
T2375632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Hollow Hills High School West |
E46191
|
entity |
| Predicate | minimumStudentGrade |
P7842
|
FINISHED |
| Object | 9 |
—
|
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 | Statement: [Half Hollow Hills High School West, minimumStudentGrade, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumStudentGrade Context triple: [Half Hollow Hills High School West, minimumStudentGrade, 9]
-
A.
lowestGrade
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
B.
gradeNumber
chosen
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
C.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
-
D.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
E.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.