Triple
T15944975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimira |
E386660
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bench Maji Zone
Bench Maji Zone is an administrative zone in southwestern Ethiopia known for its diverse ethnic groups, coffee production, and rich natural resources.
|
E1185218
|
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: Bench Maji Zone | Statement: [Gimira, locatedNear, Bench Maji Zone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bench Maji Zone Context triple: [Gimira, locatedNear, Bench Maji Zone]
-
A.
Majang
Majang is a Surmic language spoken by the Majangir people of southwestern Ethiopia.
-
B.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
C.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
D.
Bagamoyo
Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
-
E.
Mazirbe
Mazirbe is a coastal village in Latvia known as a historic cultural hub of the Livonian people and their language.
- 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: Bench Maji Zone Triple: [Gimira, locatedNear, Bench Maji Zone]
Generated description
Bench Maji Zone is an administrative zone in southwestern Ethiopia known for its diverse ethnic groups, coffee production, and rich natural resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bench Maji Zone Target entity description: Bench Maji Zone is an administrative zone in southwestern Ethiopia known for its diverse ethnic groups, coffee production, and rich natural resources.
-
A.
Majang
Majang is a Surmic language spoken by the Majangir people of southwestern Ethiopia.
-
B.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
C.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
D.
Bagamoyo
Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
-
E.
Mazirbe
Mazirbe is a coastal village in Latvia known as a historic cultural hub of the Livonian people and their language.
- 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.