Triple

T4473054
Position Surface form Disambiguated ID Type / Status
Subject Kąⁿza E98539 entity
Predicate peopleAlsoKnownAs P39 FINISHED
Object Kaw E14750 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: Kaw | Statement: [Kąⁿza, peopleAlsoKnownAs, Kaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaw
Context triple: [Kąⁿza, peopleAlsoKnownAs, Kaw]
  • A. Kaw chosen
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • B. Kawa
    Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
  • C. Kura
    Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
  • D. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • E. Ishim
    Ishim is a small historic town in Tyumen Oblast, Russia, located on the Ishim River in southwestern Siberia.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b357e4be748190b31aa83d6a8bee53 completed March 13, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69be819fa79481908b35c424bff0c939 completed March 21, 2026, 11:31 a.m.
Created at: March 12, 2026, 11:35 p.m.