Triple
T24080703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Intelligence Section |
E596495
|
entity |
| Predicate | disseminatesTo |
P66303
|
FINISHED |
| Object | investigative units |
—
|
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: investigative units | Statement: [Criminal Intelligence Section, disseminatesTo, investigative units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disseminatesTo Context triple: [Criminal Intelligence Section, disseminatesTo, investigative units]
-
A.
isMoreGeographicallyDispersedThan
Indicates that one entity’s locations or presence are spread out over a wider or more scattered geographic area than another entity’s.
-
B.
isTransmittedBy
Indicates that something (such as information, a signal, or a disease) is passed or conveyed from one entity to another through a specified agent or medium.
-
C.
distributedThrough
chosen
Indicates that something is supplied, delivered, or made available to others by means of a particular channel, intermediary, or distribution method.
-
D.
propagates
Indicates that something causes itself, its effects, or its characteristics to spread or be transmitted from one entity, location, or state to others.
-
E.
crossDisperser
Indicates that one entity functions as a cross disperser, separating different wavelengths or components of another entity’s output or signal.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2351e08190857d57f266d1d4bf |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:43 p.m.