Triple
T7688419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Cabinet |
E174182
|
entity |
| Predicate | officeCount |
P11464
|
FINISHED |
| Object | 4 statewide elected officials |
—
|
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: 4 statewide elected officials | Statement: [Florida Cabinet, officeCount, 4 statewide elected officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeCount Context triple: [Florida Cabinet, officeCount, 4 statewide elected officials]
-
A.
numberOfOffices
chosen
Indicates the total count of offices associated with a given entity.
-
B.
officeNumber
Indicates the specific room or suite number assigned to an office within a building or complex.
-
C.
officeName
Indicates the official name assigned to an office or workplace.
-
D.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
E.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.