Triple
T26079357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate from Rhode Island |
E657787
|
entity |
| Predicate | minimumCitizenshipYears |
P160713
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [United States Senate from Rhode Island, minimumCitizenshipYears, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumCitizenshipYears Context triple: [United States Senate from Rhode Island, minimumCitizenshipYears, 9]
-
A.
citizenshipDuration
Indicates the length of time an entity has held citizenship in a particular country or jurisdiction.
-
B.
requiresCitizenship
Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
-
C.
citizenshipGrantedYear
Indicates the specific year in which an entity was officially granted citizenship.
-
D.
naturalisationRequirement
Indicates the conditions or criteria that must be met for an individual to acquire citizenship through naturalisation.
-
E.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
- F. None of above. chosen
Provenance (4 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606f905688190a7c4487dc63ff305 |
completed | May 2, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 7:36 p.m.