Triple

T17193515
Position Surface form Disambiguated ID Type / Status
Subject Temne language E417286 entity
Predicate nativeName P15 FINISHED
Object Themne E581892 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: Themne | Statement: [Temne language, nativeName, Themne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Themne
Context triple: [Temne language, nativeName, Themne]
  • A. Themne chosen
    Themne is an alternative spelling of the Temne, a major ethnic group primarily found in Sierra Leone in West Africa.
  • B. Thurio
    Thurio is a foolish and cowardly nobleman in Shakespeare’s comedy "The Two Gentlemen of Verona," presented as an unworthy suitor to Silvia.
  • C. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • D. Nythe
    Nythe is a residential area and civil parish on the eastern side of Swindon in Wiltshire, England.
  • E. Tham
    Tham is a personal name used as a variant form of the name Tan in certain cultural and linguistic contexts.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da93bf88190b60b658087779d36 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd393ac8190afc4c076b6cf60ba completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.