Triple
T7472331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Horse Memorial |
E176536
|
entity |
| Predicate | acceptsGovernmentFunding |
P66156
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Crazy Horse Memorial, acceptsGovernmentFunding, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsGovernmentFunding Context triple: [Crazy Horse Memorial, acceptsGovernmentFunding, no]
-
A.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
B.
publiclyFunded
chosen
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
governmentSponsor
Indicates that a government entity provides funding, support, or backing for another entity, project, or activity.
-
E.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.