Triple
T15702991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort McDowell Fire Department |
E380638
|
entity |
| Predicate | emergencyServiceCategory |
P33503
|
FINISHED |
| Object | public safety agency |
—
|
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: public safety agency | Statement: [Fort McDowell Fire Department, emergencyServiceCategory, public safety agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyServiceCategory Context triple: [Fort McDowell Fire Department, emergencyServiceCategory, public safety agency]
-
A.
emergencyService
Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
-
B.
typeOfEmergencyService
chosen
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
C.
emergencyOffice
Indicates that an office or location serves as an emergency contact point or coordination center for urgent or crisis situations.
-
D.
emergencyCareLevel
Indicates the degree or intensity of medical attention required in an emergency situation.
-
E.
emergencyDefinitionSection
Indicates a section that defines or explains what constitutes an emergency within a given context or document.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.