Triple
T26775427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Board of Apportionment |
E670104
|
entity |
| Predicate | mapCycleFrequency |
P161228
|
FINISHED |
| Object | every 10 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 10 years | Statement: [Arkansas Board of Apportionment, mapCycleFrequency, every 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapCycleFrequency Context triple: [Arkansas Board of Apportionment, mapCycleFrequency, every 10 years]
-
A.
movementCycle
Indicates a recurring pattern or sequence of movements that an entity performs over a period of time.
-
B.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
C.
hasRotationFrequency
Indicates that one entity possesses or is characterized by a specific rate at which it rotates over time.
-
D.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
E.
opensCycle
Indicates that an action or event initiates or begins a recurring sequence or cyclical process.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6193170a88190adbbb22150475bb5 |
completed | May 2, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 4:04 a.m.