Triple
T13804028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshallese |
E331714
|
entity |
| Predicate | citizenshipStatusInUS |
P50609
|
FINISHED |
| Object | freely associated state citizen under Compact of Free Association |
—
|
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: freely associated state citizen under Compact of Free Association | Statement: [Marshallese, citizenshipStatusInUS, freely associated state citizen under Compact of Free Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusInUS Context triple: [Marshallese, citizenshipStatusInUS, freely associated state citizen under Compact of Free Association]
-
A.
stateOfCitizenship
Indicates the legal nationality or country to which a person formally belongs as a citizen.
-
B.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
-
C.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
D.
citizenshipType
chosen
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
E.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.