Triple

T16365445
Position Surface form Disambiguated ID Type / Status
Subject Western Gurage E397424 entity
Predicate hasDialect P4251 FINISHED
Object Ener
Ener is a dialect of the Western Gurage language variety spoken in Ethiopia.
E1208520 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: Ener | Statement: [Western Gurage, hasDialect, Ener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ener
Context triple: [Western Gurage, hasDialect, Ener]
  • A. Enerhen
    Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
  • B. Eneryda
    Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
  • C. Ennery
    Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
  • D. Enejelar
    Enejelar is a small settlement located on Ailuk Atoll in the Marshall Islands, likely serving as one of the atoll’s residential communities.
  • E. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar 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: Ener
Triple: [Western Gurage, hasDialect, Ener]
Generated description
Ener is a dialect of the Western Gurage language variety spoken in Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ener
Target entity description: Ener is a dialect of the Western Gurage language variety spoken in Ethiopia.
  • A. Enerhen
    Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
  • B. Eneryda
    Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
  • C. Ennery
    Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
  • D. Enejelar
    Enejelar is a small settlement located on Ailuk Atoll in the Marshall Islands, likely serving as one of the atoll’s residential communities.
  • E. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3c915c81909e1757fc31921876 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc0b3d4819089e6fba536ec8a11 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f35af8081908ea9c3d0a991c396 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a002fa14ee4819080b02b368c0080b9 completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.