Triple
T10268722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Citizen |
E240778
|
entity |
| Predicate | nonProfitSlogan |
P66965
|
FINISHED |
| Object | Protecting health, safety, and democracy |
—
|
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: Protecting health, safety, and democracy | Statement: [Public Citizen, nonProfitSlogan, Protecting health, safety, and democracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonProfitSlogan Context triple: [Public Citizen, nonProfitSlogan, Protecting health, safety, and democracy]
-
A.
nonprofitSlogan
chosen
Indicates that a particular slogan or tagline is used or adopted by a nonprofit organization.
-
B.
nonProfitContext
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
-
C.
sloganConcept
Indicates that a particular concept, idea, or theme is expressed or represented by a given slogan.
-
D.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
E.
campaignSloganProponents
Indicates that certain entities advocate for, support, or promote a particular campaign slogan.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:34 a.m.