Triple
T14432780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacksonville Beach Fire Department |
E357875
|
entity |
| Predicate | primaryHazardsAddressed |
P28689
|
FINISHED |
| Object | structure fires |
—
|
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: structure fires | Statement: [Jacksonville Beach Fire Department, primaryHazardsAddressed, structure fires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHazardsAddressed Context triple: [Jacksonville Beach Fire Department, primaryHazardsAddressed, structure fires]
-
A.
hazardType
Indicates the specific kind or category of hazard associated with an entity or situation.
-
B.
hazardManagementConcern
Indicates a relationship where one entity is a source, subject, or focus of concern regarding the identification, assessment, or control of hazards by another entity.
-
C.
hazardScope
Indicates the range or extent within which a particular hazard is relevant, applicable, or has effect.
-
D.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
E.
riskAddressed
chosen
Indicates that a particular risk has been identified and is being mitigated, managed, or otherwise handled by an associated action, control, or measure.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.