Triple
T38464957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Members of the Board of Governors of the Federal Reserve System |
E912538
|
entity |
| Predicate | mustBeU.S.Citizen |
P40423
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Members of the Board of Governors of the Federal Reserve System, mustBeU.S.Citizen, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeU.S.Citizen Context triple: [Members of the Board of Governors of the Federal Reserve System, mustBeU.S.Citizen, yes]
-
A.
requiresCitizenship
chosen
Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
-
B.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
C.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
D.
requiresFromUnitedStates
Indicates that one entity has a requirement that must be fulfilled specifically by the United States.
-
E.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.