Triple
T1788921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tana |
E39450
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Tana Qirqos
Tana Qirqos is a historically significant island in Ethiopia’s Lake Tana, known for its ancient Christian monastery and religious heritage.
|
E207669
|
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: Tana Qirqos | Statement: [Lake Tana, hasIsland, Tana Qirqos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tana Qirqos Context triple: [Lake Tana, hasIsland, Tana Qirqos]
-
A.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
B.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
C.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
D.
Argun
Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
-
E.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
- 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: Tana Qirqos Triple: [Lake Tana, hasIsland, Tana Qirqos]
Generated description
Tana Qirqos is a historically significant island in Ethiopia’s Lake Tana, known for its ancient Christian monastery and religious heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tana Qirqos Target entity description: Tana Qirqos is a historically significant island in Ethiopia’s Lake Tana, known for its ancient Christian monastery and religious heritage.
-
A.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
B.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
C.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
D.
Argun
Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
-
E.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65111e5481909c22abb6ad966814 |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b8e26c8190af6e45265e2b182f |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add29b34048190bee7908ac6c650e4 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:32 p.m.