Triple
T28648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Financial Crimes Enforcement Network |
E570
|
entity |
| Predicate | collectsFrom |
P2191
|
FINISHED |
| Object | banks |
—
|
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: banks | Statement: [Financial Crimes Enforcement Network, collectsFrom, banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsFrom Context triple: [Financial Crimes Enforcement Network, collectsFrom, banks]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
formedByUnionOf
Indicates that something is created or defined as the union or combination of multiple other things.
-
C.
usedCollectiveName
Indicates that a group of entities is referred to by a shared collective name.
-
D.
collectionSize
Indicates the total number of items contained within a specified collection.
-
E.
organizes
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249246968819099985f13127063d2 |
completed | Feb. 28, 2026, 1:47 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.