Triple
T5890492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Incident-Based Reporting System |
E130974
|
entity |
| Predicate | dataCollectionLevel |
P67289
|
FINISHED |
| Object | incident |
—
|
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 | Statement: [National Incident-Based Reporting System, dataCollectionLevel, incident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCollectionLevel Context triple: [National Incident-Based Reporting System, dataCollectionLevel, incident]
-
A.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
B.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
C.
disclosureLevel
Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
-
D.
dataCollectedOn
Indicates that certain data was gathered, recorded, or measured at a specific point in time or on a particular date.
-
E.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
- F. None of above. chosen
Provenance (4 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:58 p.m.