Triple
T28392880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey legislative redistricting |
E719201
|
entity |
| Predicate | latestCycle |
P35515
|
FINISHED |
| Object | 2020s redistricting cycle |
—
|
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: 2020s redistricting cycle | Statement: [New Jersey legislative redistricting, latestCycle, 2020s redistricting cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestCycle Context triple: [New Jersey legislative redistricting, latestCycle, 2020s redistricting cycle]
-
A.
recentCycle
chosen
Indicates that the referenced event, process, or cycle occurred in the most recent iteration or time period relative to the current context.
-
B.
evaluationCycle
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
C.
followsCycle
Indicates that one entity adheres to or repeats a recurring sequence, pattern, or cycle defined or exemplified by another entity.
-
D.
latestPhase
Indicates the most recent stage or step reached in a process, lifecycle, or sequence of phases.
-
E.
basedOnCycle
Indicates a relationship where one process, event, or state is determined by, derived from, or structured around a repeating cycle.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:14 a.m.