Triple
T14975994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Governors Association |
E373448
|
entity |
| Predicate | has donor base |
P27058
|
FINISHED |
| Object | individual contributors |
—
|
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: individual contributors | Statement: [Republican Governors Association, has donor base, individual contributors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has donor base Context triple: [Republican Governors Association, has donor base, individual contributors]
-
A.
hasLargeSupporterBase
chosen
Indicates that an entity is backed or favored by a relatively large number of supporters.
-
B.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
-
C.
donatedToState
Indicates that an entity has given or transferred something, such as money, goods, or assets, as a donation to a state or state-level governmental body.
-
D.
notableDonor
Indicates that one entity is a significant or prominent donor to another entity, typically through substantial or noteworthy contributions.
-
E.
hasDonorFocus
Indicates that an entity is oriented toward, tailored to, or primarily concerned with the interests, needs, or priorities of donors.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.