Triple
T11337297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Financial Intelligence Unit of Mexico |
E268502
|
entity |
| Predicate | typeOfFIU |
P98580
|
FINISHED |
| Object | administrative FIU |
—
|
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: administrative FIU | Statement: [Financial Intelligence Unit of Mexico, typeOfFIU, administrative FIU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFIU Context triple: [Financial Intelligence Unit of Mexico, typeOfFIU, administrative FIU]
-
A.
ipoType
Indicates the type or category of an entity’s initial public offering (IPO) event.
-
B.
IVType
Indicates the method or category of intravenous administration used in a medical or clinical context.
-
C.
typeOfFrontierUnit
Indicates that one unit is classified as a specific type or category of frontier unit in relation to another.
-
D.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
E.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:33 p.m.