Triple
T875463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFATM |
E18908
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | GFATM |
E18908
|
NE 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: GFATM | Statement: [GFATM, abbreviation, GFATM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GFATM Context triple: [GFATM, abbreviation, GFATM]
-
A.
GFATM
chosen
GFATM is a global financing institution that mobilizes and invests resources to combat HIV/AIDS, tuberculosis, and malaria in low- and middle-income countries.
-
B.
AGAT
AGAT is a Polish special forces unit known for high-risk direct action, counterterrorism, and rapid response operations.
-
C.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
-
D.
ATF
ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
-
E.
ATG
ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8520a008190a15bdb93e8ce2438 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:39 p.m.