Triple
T22343333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cargo Theft Reporting Program |
E552328
|
entity |
| Predicate | dataAggregationLevel |
P124177
|
FINISHED |
| Object | incident-based statistics |
—
|
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: incident-based statistics | Statement: [Cargo Theft Reporting Program, dataAggregationLevel, incident-based statistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataAggregationLevel Context triple: [Cargo Theft Reporting Program, dataAggregationLevel, incident-based statistics]
-
A.
dataAggregation
Indicates the process by which multiple data points or datasets are combined into a summarized or consolidated form.
-
B.
dataCollectionLevel
Indicates the extent or granularity at which data is gathered or recorded within a given context or system.
-
C.
granularityLevel
Indicates the degree of detail or resolution at which something is specified, measured, or analyzed within a given context.
-
D.
timeAggregation
Indicates how data or events are grouped, summarized, or measured over specified time intervals (e.g., hourly, daily, monthly).
-
E.
statisticalLevel
chosen
Indicates the degree or tier of statistical detail, aggregation, or granularity at which data or analysis is defined or reported.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15795b2a881908d6cb8f97443ca17 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.