Triple
T9364032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coralville Fire Department |
E225354
|
entity |
| Predicate | operatesEmergencyService |
P464
|
FINISHED |
| Object | fire suppression |
—
|
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: fire suppression | Statement: [Coralville Fire Department, operatesEmergencyService, fire suppression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesEmergencyService Context triple: [Coralville Fire Department, operatesEmergencyService, fire suppression]
-
A.
operatesEmergencyNumber
Indicates that an entity is responsible for running or managing an emergency telephone number service for another entity or region.
-
B.
emergencyService
Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
-
C.
hasEmergencyServices
chosen
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
D.
typeOfEmergencyService
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503fd7f081909655e2a880c84834 |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.