Triple

T14786292
Position Surface form Disambiguated ID Type / Status
Subject Sebat Bet Gurage E347533 entity
Predicate hasDialect P4251 FINISHED
Object Gumer
Gumer is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
 E1121473 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: Gumer | Statement: [Sebat Bet Gurage, hasDialect, Gumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gumer
Context triple: [Sebat Bet Gurage, hasDialect, Gumer]
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • C. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • D. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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: Gumer
Triple: [Sebat Bet Gurage, hasDialect, Gumer]
Generated description
Gumer is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gumer
Target entity description: Gumer is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • C. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • D. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3ac39e508190a7b8b6cc3b4e3798 completed May 8, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69fe3b6c6154819089ba8882b5de3873 completed May 8, 2026, 7:37 p.m.
Created at: April 10, 2026, 1:31 a.m.