Triple
T11015781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of Women Voters |
E260359
|
entity |
| Predicate | educationFundStatus |
P97008
|
FINISHED |
| Object | 501(c)(3) organization |
—
|
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: 501(c)(3) organization | Statement: [League of Women Voters, educationFundStatus, 501(c)(3) organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationFundStatus Context triple: [League of Women Voters, educationFundStatus, 501(c)(3) organization]
-
A.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
B.
schoolStatus
Indicates the current educational situation or enrollment condition of an entity in relation to a school.
-
C.
educationIndicator
Indicates that there is a measure or metric reflecting some aspect of educational status, performance, or outcomes associated with the entities.
-
D.
educationProvision
Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
-
E.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
- F. None of above. chosen
Provenance (4 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.