Triple
T12992731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia's U.S. House delegation |
E321954
|
entity |
| Predicate | sizeChangeDeterminedBy |
P29674
|
FINISHED |
| Object | reapportionment following the decennial 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: reapportionment following the decennial census | Statement: [Georgia's U.S. House delegation, sizeChangeDeterminedBy, reapportionment following the decennial census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeChangeDeterminedBy Context triple: [Georgia's U.S. House delegation, sizeChangeDeterminedBy, reapportionment following the decennial census]
-
A.
setSize
Indicates assigning or changing the size or dimensions of an entity.
-
B.
sizeDefinedBy
chosen
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
-
C.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
D.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
E.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.