Triple
T20988487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riordan Foundation |
E516953
|
entity |
| Predicate | hasAreaOfImpact |
P124779
|
FINISHED |
| Object | K-12 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: K-12 education | Statement: [Riordan Foundation, hasAreaOfImpact, K-12 education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaOfImpact Context triple: [Riordan Foundation, hasAreaOfImpact, K-12 education]
-
A.
hasImpactArea
chosen
Indicates that an entity affects, influences, or has consequences within a specific area, domain, or scope.
-
B.
affectedArea
Indicates the specific region or extent over which an event, condition, or influence has an impact.
-
C.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
-
D.
hasImpactFocus
Indicates that an entity is primarily concerned with or directed toward a particular type or area of impact.
-
E.
hasImpactScale
Indicates the degree or magnitude of impact that one entity or action has on another, typically expressed along a defined scale.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5208c8190b8b843b3778589d3 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:49 p.m.