Triple

T16484983
Position Surface form Disambiguated ID Type / Status
Subject Kobus E400415 entity
Predicate includesTaxon P1393 FINISHED
Object Kobus anselli E400415 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: Kobus anselli | Statement: [Kobus, includesTaxon, Kobus anselli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobus anselli
Context triple: [Kobus, includesTaxon, Kobus anselli]
  • A. Kobus chosen
    Kobus is a genus of medium-sized African antelopes that includes species such as waterbucks and lechwes, typically associated with wetland and riverside habitats.
  • B. Komo
    The Komo are an ethnic group indigenous to western Ethiopia, particularly associated with the Gambela Region, with their own distinct language and cultural traditions.
  • C. Komo
    Komo is a town located in Hela Province in the Highlands region of Papua New Guinea.
  • D. Kenzi
    Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
  • E. Dawakin Kudu
    Dawakin Kudu is a prominent town and local government area in northern Nigeria known for its role in agriculture and education within Kano State.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e05bf448190947b9da15fd29d0a completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed4a7008190ab1ad5cbf80dc119 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:13 a.m.