Triple
T18485598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stand for Children |
E451679
|
entity |
| Predicate | advocacyLevel |
P125668
|
FINISHED |
| Object | state-level education policy |
—
|
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: state-level education policy | Statement: [Stand for Children, advocacyLevel, state-level education policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advocacyLevel Context triple: [Stand for Children, advocacyLevel, state-level education policy]
-
A.
advocatesAtLevel
chosen
Indicates that an entity supports or argues for something with a specified degree, intensity, or hierarchical level of advocacy.
-
B.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
-
C.
advocatesIn
Indicates that an entity actively supports, promotes, or argues in favor of something within a particular context, domain, or setting.
-
D.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
E.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d722808190a97828cae8e3846e |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.