Triple

T16259793
Position Surface form Disambiguated ID Type / Status
Subject Karo Highlands E394723 entity
Predicate hasLanguage P15 FINISHED
Object Karo language E511956 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 language | Statement: [Karo Highlands, hasLanguage, Karo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karo language
Context triple: [Karo Highlands, hasLanguage, Karo language]
  • A. Karo language chosen
    Karo language is an Austronesian language spoken by the Karo Batak people of North Sumatra, Indonesia.
  • B. Karo language
    Karo language is an indigenous Tupian language spoken by the Karo people of the Brazilian Amazon, known for its endangered status and significance in studies of South American linguistic diversity.
  • C. Karao language
    The Karao language is an Austronesian language spoken by the Karao people in the Cordillera region of northern Luzon in the Philippines.
  • D. Karkin language
    The Karkin language is an extinct Ohlone (Costanoan) Native American language once spoken in the San Francisco Bay Area of California.
  • E. Karata language
    The Karata language is a Northeast Caucasian language spoken by the Karata people in the Republic of Dagestan, Russia.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3082c8190a1c9f92b255fdbb6 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eee110c819088d99b80435ab70b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.