Triple
T4652841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Diabaly |
E102336
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Diabaly
Diabaly is a town in central Mali that gained international attention as a key battleground during the 2013 conflict between Malian and Islamist forces.
|
E457985
|
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: Diabaly | Statement: [Battle of Diabaly, location, Diabaly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diabaly Context triple: [Battle of Diabaly, location, Diabaly]
-
A.
Djenne
Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
E.
Sabara
Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
- 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: Diabaly Triple: [Battle of Diabaly, location, Diabaly]
Generated description
Diabaly is a town in central Mali that gained international attention as a key battleground during the 2013 conflict between Malian and Islamist forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diabaly Target entity description: Diabaly is a town in central Mali that gained international attention as a key battleground during the 2013 conflict between Malian and Islamist forces.
-
A.
Djenne
Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
E.
Sabara
Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6314883481908f085a7af497b0d8 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaeb1ee081909ef641953bdf8df3 |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfbc12acc8190b8116a6003abb3e3 |
completed | March 21, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc44536c8190a71e52b0690a7570 |
completed | March 21, 2026, 2:02 a.m. |
Created at: March 20, 2026, 1:14 p.m.