Triple
T11076298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timson family |
E261875
|
entity |
| Predicate | typicalCrimes |
P7957
|
FINISHED |
| Object | petty theft |
—
|
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: petty theft | Statement: [Timson family, typicalCrimes, petty theft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCrimes Context triple: [Timson family, typicalCrimes, petty theft]
-
A.
crimeRate
Indicates the frequency or level of criminal activity occurring within a given area or population.
-
B.
regionOfCrimes
Indicates the geographic area or jurisdiction in which the crimes occurred or are attributed to an entity.
-
C.
crimeLocation
Indicates that a crime occurred at, or is associated with, a particular location.
-
D.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
E.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994fcbc081908ff8f7321c0c5892 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.