Triple
T38038147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Senate districts covering Dare County |
E949405
|
entity |
| Predicate | redistrictingCycleLength |
P33184
|
FINISHED |
| Object | 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: 10 years | Statement: [North Carolina Senate districts covering Dare County, redistrictingCycleLength, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redistrictingCycleLength Context triple: [North Carolina Senate districts covering Dare County, redistrictingCycleLength, 10 years]
-
A.
hasRedistrictingCycle
chosen
Indicates that an entity is associated with a specific schedule or sequence of redistricting events, such as when and how its electoral districts are periodically redrawn.
-
B.
subsequentRedistrictingYear
Indicates that one redistricting year occurs immediately after another in temporal sequence.
-
C.
implementedForRedistrictingCycle
Indicates that something (such as a plan, rule, or system) is put into effect specifically for a particular redistricting cycle.
-
D.
frequencyOfReapportionment
Indicates how often reapportionment occurs within a given system or context.
-
E.
notableRedistrictingYear
Indicates that a given year is recognized as significant for redistricting activities, such as major changes to electoral district boundaries.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.