Triple
T33629373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida's 10th congressional district |
E861507
|
entity |
| Predicate | previouslyCharacterizedAs |
P662
|
FINISHED |
| Object | swing district |
—
|
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: swing district | Statement: [Florida's 10th congressional district, previouslyCharacterizedAs, swing district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyCharacterizedAs Context triple: [Florida's 10th congressional district, previouslyCharacterizedAs, swing district]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
previouslyIn
Indicates that an entity was located in, part of, or associated with another entity at some earlier time, but is not necessarily so now.
-
C.
predecessorCharacterization
Indicates that one entity serves as a prior or earlier characterization or description upon which another characterization is based or from which it is derived.
-
D.
predecessorCharacteristics
Indicates that certain characteristics or attributes are inherited or derived from a predecessor entity in a sequence or lineage.
-
E.
originallyPresentedAs
Indicates that one entity was first introduced, described, or characterized in the form or manner specified by another entity.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:41 a.m.