Triple
T1829481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUTM Mali |
E40728
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Koulikoro
Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
|
E221646
|
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: Koulikoro | Statement: [EUTM Mali, location, Koulikoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koulikoro Context triple: [EUTM Mali, location, Koulikoro]
-
A.
Ségou
Ségou is a historic city in central Mali known for its role as a former Bambara kingdom capital, its Niger River location, and its rich cultural and artistic heritage.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Mopti
Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
-
D.
Bamako
Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
-
E.
Ouagadougou
Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
- 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: Koulikoro Triple: [EUTM Mali, location, Koulikoro]
Generated description
Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koulikoro Target entity description: Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
-
A.
Ségou
Ségou is a historic city in central Mali known for its role as a former Bambara kingdom capital, its Niger River location, and its rich cultural and artistic heritage.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Mopti
Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
-
D.
Bamako
Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
-
E.
Ouagadougou
Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb012e174819090c188e55a9812b4 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0307ffac8190a9d335a975e88e9e |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae0386785c8190ae74e5f04a4809fc |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:32 p.m.