Triple

T16506306
Position Surface form Disambiguated ID Type / Status
Subject Eastern Gurage E400939 entity
Predicate hasDialect P4251 FINISHED
Object Mesmes E1208516 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: Mesmes | Statement: [Eastern Gurage, hasDialect, Mesmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesmes
Context triple: [Eastern Gurage, hasDialect, Mesmes]
  • A. Mesmes chosen
    Mesmes is an extinct Afroasiatic language once spoken in central Ethiopia, known primarily from limited documentation and remembered through the identity of its former speakers.
  • B. Ma’di
    Ma’di is a Central Sudanic language spoken primarily by the Ma’di people in parts of South Sudan and Uganda.
  • C. Mahas Nubian
    Mahas Nubian is a variety of the Nobiin language traditionally spoken by Nubian communities along the Nile in southern Egypt and northern Sudan.
  • D. Misrikh
    Misrikh is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known for its local administrative and commercial significance in the region.
  • E. Mutnedjmet
    Mutnedjmet was an ancient Egyptian queen of the late 18th Dynasty, best known as the Great Royal Wife of Pharaoh Horemheb.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e52a2b48190ae715e7db0fd3aad completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005832bcb48190a905ee7c9bff2c5b completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.