Triple
T18618713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shewa |
E455094
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Holeta
Holeta is a town in the Oromia Region of central Ethiopia, known for its agricultural research center and proximity to the capital, Addis Ababa.
|
E1333362
|
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: Holeta | Statement: [Shewa, containsCity, Holeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holeta Context triple: [Shewa, containsCity, Holeta]
-
A.
Almolonga
Almolonga is a Guatemalan town in the Quetzaltenango Department, renowned for its highly productive vegetable farming and vibrant indigenous Kʼicheʼ culture.
-
B.
Huara
Huara is a small town and commune in northern Chile’s Tarapacá Region, known for its desert landscape and location along the historic route to the Atacama Desert.
-
C.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
D.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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: Holeta Triple: [Shewa, containsCity, Holeta]
Generated description
Holeta is a town in the Oromia Region of central Ethiopia, known for its agricultural research center and proximity to the capital, Addis Ababa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holeta Target entity description: Holeta is a town in the Oromia Region of central Ethiopia, known for its agricultural research center and proximity to the capital, Addis Ababa.
-
A.
Almolonga
Almolonga is a Guatemalan town in the Quetzaltenango Department, renowned for its highly productive vegetable farming and vibrant indigenous Kʼicheʼ culture.
-
B.
Huara
Huara is a small town and commune in northern Chile’s Tarapacá Region, known for its desert landscape and location along the historic route to the Atacama Desert.
-
C.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
D.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d07dc288190bb3b8b5ab06518da |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050390bd4c8190b623f08a12eee39b |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050455e6e8819084927b1c2d4a5237 |
completed | May 13, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505cbc11481908e61d90dd64f6212 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:46 a.m.