Triple
T3952008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malian Armed Forces |
E84884
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
|
E402529
|
NE FINISHED |
How this triple was built (4 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: FAMa | Statement: [Malian Armed Forces, abbreviation, FAMa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAMa Context triple: [Malian Armed Forces, abbreviation, FAMa]
-
A.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
B.
FAMET
FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
-
C.
Famo
Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
-
D.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
E.
FAC
FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FAMa Triple: [Malian Armed Forces, abbreviation, FAMa]
Generated description
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAMa Target entity description: FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
A.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
B.
FAMET
FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
-
C.
Famo
Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
-
D.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
E.
FAC
FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
- F. None of above. chosen
Provenance (5 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef939d1308190930dc2c8272eafa4 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a80d4c8190bb1aac1b2900d9a8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5341fb74081909a33753e5fdd5c32 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534d279548190bee44aea7828ed3b |
completed | March 14, 2026, 10:13 a.m. |
Created at: March 9, 2026, 3:30 p.m.