Triple
T28556610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire Prevention and Public Education Division (South Holland Fire Department) |
E723023
|
entity |
| Predicate | safetyTopic |
P68802
|
FINISHED |
| Object | home fire escape planning |
—
|
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: home fire escape planning | Statement: [Fire Prevention and Public Education Division (South Holland Fire Department), safetyTopic, home fire escape planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyTopic Context triple: [Fire Prevention and Public Education Division (South Holland Fire Department), safetyTopic, home fire escape planning]
-
A.
safety
Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
-
B.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
C.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
-
D.
safetyConcept
chosen
Indicates that something embodies, represents, or is associated with a principle, idea, or framework related to safety.
-
E.
safetyAdvice
Indicates that one entity provides guidance or recommendations to another entity about how to avoid danger or reduce risk in a particular context.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 3:46 a.m.