Triple
T4496118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Konna |
E100699
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object |
Konna
Konna is a town in central Mali that gained prominence as a strategic battleground during the 2013 conflict between Malian and Islamist forces.
|
E446305
|
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: Konna | Statement: [Battle of Konna, place, Konna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konna Context triple: [Battle of Konna, place, Konna]
-
A.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
B.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
-
C.
Kokona
Kokona is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
-
D.
Anao
Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
-
E.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
- 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: Konna Triple: [Battle of Konna, place, Konna]
Generated description
Konna is a town in central Mali that gained prominence as a strategic battleground during the 2013 conflict between Malian and Islamist forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konna Target entity description: Konna is a town in central Mali that gained prominence as a strategic battleground during the 2013 conflict between Malian and Islamist forces.
-
A.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
B.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
-
C.
Kokona
Kokona is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
-
D.
Anao
Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
-
E.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bde14c819091d42839a46291d0 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67bfb4788190b64975b1999a8d1e |
completed | March 20, 2026, 3:29 p.m. |
| NEDg | Description generation | batch_69bd68503f1c81909742bcf0ac356e52 |
completed | March 20, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd68b4681c8190abb170ccb054cd05 |
completed | March 20, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1 p.m.