Triple
T11722401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nose |
E278669
|
entity |
| Predicate | gradeAid |
P11008
|
FINISHED |
| Object | A2 |
—
|
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: A2 | Statement: [The Nose, gradeAid, A2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeAid Context triple: [The Nose, gradeAid, A2]
-
A.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
B.
academicSupport
chosen
Indicates that one entity provides educational assistance, guidance, or resources to help another entity succeed academically.
-
C.
studiesFor
Indicates that one entity engages in studying or academic preparation with the purpose of achieving or supporting another entity (such as a goal, exam, or qualification).
-
D.
schoolSubjectStrength
Indicates a relationship where an entity has a particular level of ability or proficiency in a specific school subject.
-
E.
schoolSubjectWeakness
Indicates that a person has particular difficulty or poor performance in a specific school subject.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.