Triple
T2233568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabo language |
E49226
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Shabo
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
|
E247378
|
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: Shabo | Statement: [Shabo language, alternativeName, Shabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shabo Context triple: [Shabo language, alternativeName, Shabo]
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Jebba
Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
-
C.
Chabi
Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
-
D.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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: Shabo Triple: [Shabo language, alternativeName, Shabo]
Generated description
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shabo Target entity description: Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Jebba
Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
-
C.
Chabi
Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
-
D.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b020e308190a6d5a50a8e808aba |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b73bb688190bcade17d991c4862 |
completed | March 9, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6be4431c81909c9b4ad82226215d |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:47 p.m.