Triple
T31703767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona's congressional districts |
E809125
|
entity |
| Predicate | previousApportionmentChange |
P156035
|
FINISHED |
| Object | 2010 census |
—
|
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: 2010 census | Statement: [Arizona's congressional districts, previousApportionmentChange, 2010 census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousApportionmentChange Context triple: [Arizona's congressional districts, previousApportionmentChange, 2010 census]
-
A.
reapportionedAfter
chosen
Indicates that one entity’s allocation, distribution, or representation has been adjusted or reassigned as a consequence of another prior allocation event.
-
B.
frequencyOfReapportionment
Indicates how often reapportionment occurs within a given system or context.
-
C.
apportionedAfter
Indicates that one entity is distributed, allocated, or divided only after another specified event, action, or allocation has occurred.
-
D.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
E.
lastRedistrictingBasedOn
Indicates the redistricting event or plan that most recently served as the basis for the current 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 30, 2026, 11:13 p.m.