Triple
T45155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate |
E886
|
entity |
| Predicate | hasCitizenshipRequirement |
P1130
|
FINISHED |
| Object | at least 9 years U.S. citizenship |
—
|
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: at least 9 years U.S. citizenship | Statement: [United States Senate, hasCitizenshipRequirement, at least 9 years U.S. citizenship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCitizenshipRequirement Context triple: [United States Senate, hasCitizenshipRequirement, at least 9 years U.S. citizenship]
-
A.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
B.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
C.
legalStatusOfElectors
Indicates the legal standing, rights, and recognition granted to electors under applicable laws or regulations.
-
D.
eligibilityCriteria
chosen
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
E.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24abbd32c81908cec461d9097662e |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.