Triple
T14711908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charming |
E345565
|
entity |
| Predicate | inUniverseCrimeActivity |
P7957
|
FINISHED |
| Object | arms trafficking |
—
|
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: arms trafficking | Statement: [Charming, inUniverseCrimeActivity, arms trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseCrimeActivity Context triple: [Charming, inUniverseCrimeActivity, arms trafficking]
-
A.
postCrimeActivity
Indicates actions or behaviors carried out after a crime has been committed, typically in response to or as a consequence of that crime.
-
B.
regionOfCrimes
Indicates the geographic area or jurisdiction in which the crimes occurred or are attributed to an entity.
-
C.
crimeRate
Indicates the frequency or level of criminal activity occurring within a given area or population.
-
D.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
E.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.