Triple
T12572661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland's 5th congressional district |
E295641
|
entity |
| Predicate | electsFrequency |
P1678
|
FINISHED |
| Object | every two years |
—
|
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: every two years | Statement: [Maryland's 5th congressional district, electsFrequency, every two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsFrequency Context triple: [Maryland's 5th congressional district, electsFrequency, every two years]
-
A.
legislativePeriodicity
chosen
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
B.
electsRepresentativeEvery
Indicates that one entity periodically chooses or votes to select another entity to serve as its representative.
-
C.
constitutionalFrequency
Indicates how often a constitutional or fundamental condition, symptom, or state occurs over a given period.
-
D.
electsAt
Indicates that an election or selection of someone or something to a position, role, or office occurs at a specific time or in a specific context.
-
E.
electsInEvenYears
Indicates that the election or selection of an entity occurs specifically in calendar years that are even numbers.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.