Triple
T2734790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 32nd congressional district |
E60603
|
entity |
| Predicate | electorateTrend |
P16232
|
FINISHED |
| Object | increasingly urban |
—
|
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: increasingly urban | Statement: [Texas's 32nd congressional district, electorateTrend, increasingly urban]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electorateTrend Context triple: [Texas's 32nd congressional district, electorateTrend, increasingly urban]
-
A.
electorateCharacteristics
chosen
Indicates the defining demographic, social, or political attributes that characterize a particular electorate.
-
B.
electorate
Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
-
C.
electorateState
Indicates the state or region in which a given electorate (voting district or constituency) is located or to which it belongs.
-
D.
electorateCategory
Indicates the classification of an electorate or voter group into a specific category based on defined electoral or demographic criteria.
-
E.
electoralPattern
Indicates a recurring or characteristic way in which elections or voting outcomes tend to occur or be distributed across contexts.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb1022488190af84e536946b2e37 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.