Triple
T2535434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apex Fire Department |
E56257
|
entity |
| Predicate | typeOfEmergencyHandled |
P33503
|
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: [Apex Fire Department, typeOfEmergencyHandled, structure fires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEmergencyHandled Context triple: [Apex Fire Department, typeOfEmergencyHandled, structure fires]
-
A.
typeOfEmergencyService
chosen
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
B.
resultOfEmergency
Indicates that something occurs or exists as a direct consequence of an emergency situation or event.
-
C.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
-
D.
hasEmergencyServices
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
E.
emergencyEvent
Indicates that an urgent, unexpected, and potentially harmful situation or incident has occurred requiring immediate attention or response.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.