Triple
T15074530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Crime Victimization Survey |
E379964
|
entity |
| Predicate | excludesCrimes |
P3119
|
FINISHED |
| Object | homicide |
—
|
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: homicide | Statement: [National Crime Victimization Survey, excludesCrimes, homicide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesCrimes Context triple: [National Crime Victimization Survey, excludesCrimes, homicide]
-
A.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
-
B.
includesCrimesAgainstSociety
Indicates that the referenced entity involves, encompasses, or is associated with offenses classified as crimes against society (such as public order, moral, or regulatory violations).
-
C.
excludesFromEvidence
Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
-
D.
excludes
chosen
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
E.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.