Triple
T37321820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Group Insurance Program of Florida |
E926501
|
entity |
| Predicate | coverageFor |
P14568
|
FINISHED |
| Object | eligible Florida state employees |
—
|
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: eligible Florida state employees | Statement: [State Group Insurance Program of Florida, coverageFor, eligible Florida state employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageFor Context triple: [State Group Insurance Program of Florida, coverageFor, eligible Florida state employees]
-
A.
coverageBasis
Indicates the underlying principle, rule, or criteria on which a particular coverage or protection is determined or applied.
-
B.
coverageScope
chosen
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
C.
cobertura
Indicates that one entity provides coverage, protection, or a covering layer over another entity.
-
D.
coverageModel
Indicates a relationship where a specific model or framework defines, structures, or governs the extent and manner in which something is covered or addressed.
-
E.
componentCoverage
Indicates that one entity provides coverage, protection, or support for another as one of its components or constituent parts.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:16 p.m.