Triple
T10464312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitijela |
E246751
|
entity |
| Predicate | countryGovernmentBranch |
P479
|
FINISHED |
| Object | legislative branch |
—
|
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: legislative branch | Statement: [Nitijela, countryGovernmentBranch, legislative branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryGovernmentBranch Context triple: [Nitijela, countryGovernmentBranch, legislative branch]
-
A.
governmentBranch
chosen
Indicates that one entity functions as an official division or branch within the structure of a government.
-
B.
governmentBranchAlongside
Indicates that one branch of government exists or operates alongside another as a parallel or coequal component within the same governmental system.
-
C.
countryGovernment
Indicates the type or form of government that exercises authority over a given country.
-
D.
governmentCategory
Indicates the type or classification of a government associated with an entity.
-
E.
seatOfGovernmentBranch
Indicates the branch or division of government for which a particular location serves as the seat of authority or administration.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50885e220819089e455b646f31e65 |
completed | April 7, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:19 p.m.