Triple

T14668627
Position Surface form Disambiguated ID Type / Status
Subject Kaonde E344446 entity
Predicate closelyRelatedTo P37 FINISHED
Object Lamba language E962194 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: Lamba language | Statement: [Kaonde, closelyRelatedTo, Lamba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamba language
Context triple: [Kaonde, closelyRelatedTo, Lamba language]
  • A. Lamba language chosen
    The Lamba language is a Bantu language spoken primarily in northern Zambia and parts of the Democratic Republic of the Congo, closely related to neighboring languages such as Bemba.
  • B. Lambadi language
    The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
  • C. Lamboya language
    The Lamboya language is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • D. Lamet language
    Lamet language is an Austroasiatic language spoken by the Lamet people of northern Laos.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e9bb2081908515ab6430e9b1c2 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.