Triple
T2659882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article V of the Florida Constitution |
E54700
|
entity |
| Predicate | hasBeen |
P39943
|
FINISHED |
| Object | amended multiple times by Florida voters |
—
|
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: amended multiple times by Florida voters | Statement: [Article V of the Florida Constitution, hasBeen, amended multiple times by Florida voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeen Context triple: [Article V of the Florida Constitution, hasBeen, amended multiple times by Florida voters]
-
A.
hasHad
chosen
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
B.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
C.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
D.
hadNo
Indicates that one entity completely lacked or did not possess another entity, attribute, or relationship.
-
E.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94f3b1881909bd36cfe61c254a5 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.