Triple
T13186570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedmont Fire Department |
E313870
|
entity |
| Predicate | monitorsRisk |
P82386
|
FINISHED |
| Object | fire hazards in Piedmont |
—
|
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 hazards in Piedmont | Statement: [Piedmont Fire Department, monitorsRisk, fire hazards in Piedmont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsRisk Context triple: [Piedmont Fire Department, monitorsRisk, fire hazards in Piedmont]
-
A.
monitorsHazardType
chosen
Indicates that an entity observes, tracks, or keeps watch over a specified type or category of hazard.
-
B.
riskAssessmentBy
Indicates that a risk assessment is performed, evaluated, or provided by a specific agent or entity.
-
C.
monitoredFor
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
D.
riskBasis
Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
-
E.
monitorsObligationsOf
Indicates that one entity oversees, tracks, or checks another entity’s duties or required actions to ensure they are fulfilled.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.