Triple
T32262306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Morristown government |
E824189
|
entity |
| Predicate | publicSafetyFunction |
P36367
|
FINISHED |
| Object | provides police protection in Morristown |
—
|
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: provides police protection in Morristown | Statement: [City of Morristown government, publicSafetyFunction, provides police protection in Morristown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSafetyFunction Context triple: [City of Morristown government, publicSafetyFunction, provides police protection in Morristown]
-
A.
safetyFunction
chosen
Indicates that one entity serves as a safety-related function or mechanism that protects, safeguards, or reduces risk for another entity or process.
-
B.
safetyContext
Indicates the circumstances, conditions, or environment that affect how safe an action, object, or situation is.
-
C.
safetyRequirement
Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
-
D.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
E.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 1, 2026, 12:41 a.m.