Triple

T11469349
Position Surface form Disambiguated ID Type / Status
Subject Buga language E271860 entity
Predicate classificationLevel P7279 FINISHED
Object Khoe E402125 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: Khoe | Statement: [Buga language, classificationLevel, Khoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khoe
Context triple: [Buga language, classificationLevel, Khoe]
  • A. Khoe chosen
    Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
  • B. Khobi
    Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
  • C. Mekoche
    Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
  • D. Ko Chorakhe
    Ko Chorakhe is a small island located within Thailand’s Chumphon Archipelago, known for its coastal scenery and marine environment.
  • E. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7800ca881909c1816a74b3b8f19 completed April 21, 2026, 2:57 a.m.
Created at: April 8, 2026, 9:35 p.m.