Triple
T2670972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article VII of the Florida Constitution |
E55744
|
entity |
| Predicate | definesRulesFor |
P8188
|
FINISHED |
| Object | imposition of state taxes in Florida |
—
|
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: imposition of state taxes in Florida | Statement: [Article VII of the Florida Constitution, definesRulesFor, imposition of state taxes in Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRulesFor Context triple: [Article VII of the Florida Constitution, definesRulesFor, imposition of state taxes in Florida]
-
A.
setsRulesFor
chosen
Indicates that one entity establishes or defines rules, guidelines, or constraints that another entity is expected to follow.
-
B.
usesRulesFrom
Indicates that one entity applies, follows, or is governed by the rules defined or provided by another entity.
-
C.
isRuleGoverned
Indicates that an entity’s behavior, structure, or operation is determined and constrained by explicit rules or formal regulations.
-
D.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
E.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98e7d00819088398206fc7db477 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.