Triple
T27992462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discovery Award |
E706916
|
entity |
| Predicate | nonFormalEducation |
P78717
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Discovery Award, nonFormalEducation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonFormalEducation Context triple: [Discovery Award, nonFormalEducation, true]
-
A.
hasNoFormalTrainingIn
Indicates that an entity lacks official or structured education, instruction, or certification in a specified field or activity.
-
B.
nonScholastic
chosen
Indicates that an activity, event, or attribute is related to areas outside formal academic or scholarly pursuits.
-
C.
isTaughtInformallyIn
Indicates that something is taught or learned in an informal setting or context, rather than through formal instruction.
-
D.
nonDegreeGranting
Indicates that the institution or program does not confer formal academic degrees.
-
E.
commonEducation
Indicates that two or more entities share at least one educational experience in common, such as attending the same school, program, or course.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63ba7855c8190ad31dd3f6f6e70c3 |
completed | May 2, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:51 p.m.