Triple

T16365442
Position Surface form Disambiguated ID Type / Status
Subject Western Gurage E397424 entity
Predicate hasDialect P4251 FINISHED
Object Gumer E1121473 NE FINISHED

How this triple was built (2 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: [Western Gurage, hasDialect, Gumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gumer
Context triple: [Western Gurage, hasDialect, Gumer]
  • A. Gumer chosen
    Gumer is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
  • B. Garema
    Garema is a small rural locality in the Central West region of New South Wales, Australia.
  • C. 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.
  • D. 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.
  • E. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 10, 2026, 5:08 a.m.