Triple
T7484341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Emergency Response |
E176840
|
entity |
| Predicate | typeOfEmergency |
P57677
|
FINISHED |
| Object | oil spills |
—
|
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: oil spills | Statement: [Office of Emergency Response, typeOfEmergency, oil spills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEmergency Context triple: [Office of Emergency Response, typeOfEmergency, oil spills]
-
A.
typeOfEmergencyService
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
B.
emergencyAlertType
chosen
Indicates the specific category or kind of emergency associated with an alert.
-
C.
resultOfEmergency
Indicates that something occurs or exists as a direct consequence of an emergency situation or event.
-
D.
emergencyEvent
Indicates that an urgent, unexpected, and potentially harmful situation or incident has occurred requiring immediate attention or response.
-
E.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53a6bc081909f4b9cd7cdacf045 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.