Triple
T25640303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Election Assistance Commission |
E642819
|
entity |
| Predicate | commissionerCount |
P21525
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [United States Election Assistance Commission, commissionerCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionerCount Context triple: [United States Election Assistance Commission, commissionerCount, 4]
-
A.
numberOfCommissioners
chosen
Indicates the specific count of commissioners associated with a given entity or context.
-
B.
numberOfResidentCommissioners
Indicates the quantity of resident commissioners associated with a given entity.
-
C.
commissioner
Indicates that an entity holds the role or position of commissioner in relation to another entity or context.
-
D.
commissionerIsPartOf
Indicates that a commissioner belongs to, is a member of, or is organizationally included within a larger entity or group.
-
E.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 5:41 p.m.