Triple
T31886590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REAP |
E814022
|
entity |
| Predicate | startLevel |
P24354
|
FINISHED |
| Object | elementary education |
—
|
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: elementary education | Statement: [REAP, startLevel, elementary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startLevel Context triple: [REAP, startLevel, elementary education]
-
A.
minimumLevel
Indicates that one entity specifies the lowest allowable or required level, degree, or threshold at which another entity, condition, or action becomes valid or applicable.
-
B.
initiationLevels
chosen
Indicates the degree or stage at which an action, process, or relationship is begun or set in motion between entities.
-
C.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
-
D.
inscriptionLevel
Indicates the degree or extent to which an inscription is present, applied, or emphasized in relation to an entity.
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: April 30, 2026, 11:57 p.m.