Triple
T11349299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mai-Mai militias |
E268798
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Mai-Mai Simba
Mai-Mai Simba is a Congolese militia faction known for its involvement in local armed conflicts and community-based self-defense activities in eastern Democratic Republic of the Congo.
|
E920234
|
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: Mai-Mai Simba | Statement: [Mai-Mai militias, hasSubgroup, Mai-Mai Simba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mai-Mai Simba Context triple: [Mai-Mai militias, hasSubgroup, Mai-Mai Simba]
-
A.
Zizi
Zizi is a Liberian former professional footballer best known for playing as a striker for clubs in Europe and the United States.
-
B.
Pakpak Simsim
Pakpak Simsim is a regional dialect of the Pakpak Dairi language spoken by the Pakpak people of northern Sumatra, Indonesia.
-
C.
Mamo
Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
-
D.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
E.
Kiko
Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
- 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: Mai-Mai Simba Triple: [Mai-Mai militias, hasSubgroup, Mai-Mai Simba]
Generated description
Mai-Mai Simba is a Congolese militia faction known for its involvement in local armed conflicts and community-based self-defense activities in eastern Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mai-Mai Simba Target entity description: Mai-Mai Simba is a Congolese militia faction known for its involvement in local armed conflicts and community-based self-defense activities in eastern Democratic Republic of the Congo.
-
A.
Zizi
Zizi is a Liberian former professional footballer best known for playing as a striker for clubs in Europe and the United States.
-
B.
Pakpak Simsim
Pakpak Simsim is a regional dialect of the Pakpak Dairi language spoken by the Pakpak people of northern Sumatra, Indonesia.
-
C.
Mamo
Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
-
D.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
E.
Kiko
Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea23391c819089e8f9725cb3a0ff |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.