Triple
T9613638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Inspectorate for Emergency Situations |
E232162
|
entity |
| Predicate | typeOfEmergencyCovered |
P77203
|
FINISHED |
| Object | floods |
—
|
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: floods | Statement: [General Inspectorate for Emergency Situations, typeOfEmergencyCovered, floods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEmergencyCovered Context triple: [General Inspectorate for Emergency Situations, typeOfEmergencyCovered, floods]
-
A.
emergencyTypesCovered
chosen
Indicates that certain kinds of emergencies are included within the scope of coverage, protection, or response defined by the relationship.
-
B.
typeOfEmergencyService
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
C.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
D.
typeOfDiscriminationCovered
Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
-
E.
hasEmergencyCare
Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:09 p.m.