Triple

T9422358
Position Surface form Disambiguated ID Type / Status
Subject Paremoude E227183 entity
Predicate languageOfName P15 FINISHED
Object Coptic E43596 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: Coptic | Statement: [Paremoude, languageOfName, Coptic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coptic
Context triple: [Paremoude, languageOfName, Coptic]
  • A. Bohairic Coptic
    Bohairic Coptic is the northern dialect of the Coptic language that became the principal liturgical language of the Coptic Orthodox Church.
  • B. Sahidic Coptic
    Sahidic Coptic is the major classical literary dialect of the Coptic language, widely used in early Christian Egypt for religious and scholarly texts.
  • C. Coptic language chosen
    The Coptic language is the final stage of the ancient Egyptian language, written in the Coptic alphabet and historically used as the liturgical and literary language of the Coptic Christian community.
  • D. Fayyumic Coptic
    Fayyumic Coptic is a regional dialect of the Coptic language historically used in Egypt’s Faiyum region, notable for its distinctive phonological and orthographic features.
  • E. Akhmimic Coptic
    Akhmimic Coptic is an early regional dialect of the Coptic language historically used around the town of Akhmim in Upper Egypt.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c27c8cc8190a11162c10c33b17e completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12233f89c8190979d76aee65c0d56 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:48 p.m.