Triple
T33318855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress Watch |
E853084
|
entity |
| Predicate | hasParentNonprofitType |
P162239
|
FINISHED |
| Object | 501(c)(4) advocacy 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)(4) advocacy organization | Statement: [Congress Watch, hasParentNonprofitType, 501(c)(4) advocacy organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentNonprofitType Context triple: [Congress Watch, hasParentNonprofitType, 501(c)(4) advocacy organization]
-
A.
hasParentSocietyType
Indicates that an entity is associated with, or belongs to, a broader parent society categorized by a specific type.
-
B.
hasParentAgencyType
Indicates that an agency is associated with or falls under a parent agency of a specified type.
-
C.
nonprofitStatusAppliesTo
chosen
Indicates that a particular nonprofit status or designation is applicable to a given entity.
-
D.
hasNonprofitOrganization
Indicates that an entity is associated with or possesses a nonprofit organization, such as founding, owning, or formally operating it.
-
E.
isNonprofitPartnerOf
Indicates that one entity is a nonprofit organization that collaborates or partners with another entity in a formal or recognized capacity.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 1, 2026, 1:33 a.m.