Triple
T16965523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States federal system |
E411529
|
entity |
| Predicate | permitsDualCitizenshipOf |
P23321
|
FINISHED |
| Object | United States 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: United States citizenship | Statement: [United States federal system, permitsDualCitizenshipOf, United States citizenship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permitsDualCitizenshipOf Context triple: [United States federal system, permitsDualCitizenshipOf, United States citizenship]
-
A.
mayHoldDualCitizenshipWith
chosen
Indicates that an entity is allowed to simultaneously hold citizenship in the specified other country or jurisdiction.
-
B.
hasDualCitizenship
Indicates that a person is legally recognized as a citizen of two different countries at the same time.
-
C.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
-
D.
mayHoldCitizenshipOf
Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
-
E.
allowedCitizenshipRights
Indicates that one entity grants or recognizes citizenship rights or privileges for another 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a3cecc8190a490573adce80cca |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.