Triple
T15945073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafa |
E386663
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kefa
Kefa is an alternative name for Kafa, a historical region in southwestern Ethiopia known for its rich cultural heritage and association with the origins of coffee.
|
E1185231
|
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: Kefa | Statement: [Kafa, hasAlternativeName, Kefa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kefa Context triple: [Kafa, hasAlternativeName, Kefa]
-
A.
Zul Kifl
Zul Kifl is an Islamic prophet or righteous figure mentioned briefly in the Qur’an, traditionally identified by some scholars with the biblical Ezekiel.
-
B.
Ras Dashen
Ras Dashen is a prominent mountain peak in northern Ethiopia, renowned as the country’s highest summit and a key feature of the Simien Mountains.
-
C.
Fikru Teferra
Fikru Teferra is an Ethiopian professional footballer known as a forward who gained prominence playing in the Indian Super League.
-
D.
Berqayel
Berqayel is a town located in northern Lebanon within the Akkar region, known for its rural character and agricultural surroundings.
-
E.
Yonas
Yonas is a given name, often used as a variant of Jonas in various cultures.
- 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: Kefa Triple: [Kafa, hasAlternativeName, Kefa]
Generated description
Kefa is an alternative name for Kafa, a historical region in southwestern Ethiopia known for its rich cultural heritage and association with the origins of coffee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kefa Target entity description: Kefa is an alternative name for Kafa, a historical region in southwestern Ethiopia known for its rich cultural heritage and association with the origins of coffee.
-
A.
Zul Kifl
Zul Kifl is an Islamic prophet or righteous figure mentioned briefly in the Qur’an, traditionally identified by some scholars with the biblical Ezekiel.
-
B.
Ras Dashen
Ras Dashen is a prominent mountain peak in northern Ethiopia, renowned as the country’s highest summit and a key feature of the Simien Mountains.
-
C.
Fikru Teferra
Fikru Teferra is an Ethiopian professional footballer known as a forward who gained prominence playing in the Indian Super League.
-
D.
Berqayel
Berqayel is a town located in northern Lebanon within the Akkar region, known for its rural character and agricultural surroundings.
-
E.
Yonas
Yonas is a given name, often used as a variant of Jonas in various cultures.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5beabbc8190977f14c1b3ccdf29 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb677927c8190bd45e7bae5fcf1ed |
completed | May 9, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7468fb88190a56cf1df5bd20f63 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:53 a.m.