Triple

T15945053
Position Surface form Disambiguated ID Type / Status
Subject Hamer E386662 entity
Predicate neighboringLanguages P16383 FINISHED
Object Karo E394725 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: Karo | Statement: [Hamer, neighboringLanguages, Karo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karo
Context triple: [Hamer, neighboringLanguages, Karo]
  • A. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • B. Karo chosen
    Karo are an indigenous Batak ethnic group of the highlands of North Sumatra, Indonesia, known for their distinct language, culture, and traditional village architecture.
  • C. Karuah
    Karuah is a small town in New South Wales, Australia, known for its location on the Karuah River and its fishing and oyster-farming activities.
  • D. Karu
    Karu was the personal name of Emperor Monmu, an 8th-century ruler of Japan from the Asuka/Nara period.
  • E. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.