Triple

T3974493
Position Surface form Disambiguated ID Type / Status
Subject Southern Uto-Aztecan E85606 entity
Predicate hasLanguage P15 FINISHED
Object Kiliwa E76146 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: Kiliwa | Statement: [Southern Uto-Aztecan, hasLanguage, Kiliwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiliwa
Context triple: [Southern Uto-Aztecan, hasLanguage, Kiliwa]
  • A. Kiliwa chosen
    Kiliwa is an indigenous people of northern Baja California, Mexico, known for their distinct Yuman language and traditional hunter-gatherer culture.
  • B. Kili
    Kili is a young Dwarf prince of Durin's line and a member of Thorin Oakenshield's company in J.R.R. Tolkien's Middle-earth legendarium.
  • C. Gigiri
    Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
  • D. Mount Longonot
    Mount Longonot is a stratovolcano in Kenya’s Great Rift Valley, known for its prominent crater and popular hiking trails offering panoramic views of the surrounding landscape.
  • E. Kivili
    Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b40e2f88190afbb99ece04e83b9 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:32 p.m.