Triple
T5533769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menelik II |
E145108
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
|
E531222
|
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: Ijigayehu | Statement: [Menelik II, mother, Ijigayehu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijigayehu Context triple: [Menelik II, mother, Ijigayehu]
-
A.
Iyiyiu
Iyiyiu is the endonym used by certain Cree peoples to refer to themselves and their own Indigenous nation.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Ijoko
Ijoko is a historically significant Awori settlement in southwestern Nigeria that has grown into an important peri-urban community within the Lagos–Ogun metropolitan area.
-
E.
Esigodini
Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
- 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: Ijigayehu Triple: [Menelik II, mother, Ijigayehu]
Generated description
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ijigayehu Target entity description: Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
A.
Iyiyiu
Iyiyiu is the endonym used by certain Cree peoples to refer to themselves and their own Indigenous nation.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Ijoko
Ijoko is a historically significant Awori settlement in southwestern Nigeria that has grown into an important peri-urban community within the Lagos–Ogun metropolitan area.
-
E.
Esigodini
Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0280cb42c8190bf5ba546aca5edce |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c03f22df188190a63f9bf328e2bbba |
completed | March 22, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03fb5e34481908b260735bb299254 |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:34 p.m.