Triple

T19471680
Position Surface form Disambiguated ID Type / Status
Subject Avar people E487136 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Laks NE NERFINISHED

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: Laks | Statement: [Avar people, relatedEthnicGroup, Laks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laks
Context triple: [Avar people, relatedEthnicGroup, Laks]
  • A. Laks chosen
    Laks are an indigenous ethnic group of Dagestan in the North Caucasus, known for their Northeast Caucasian Lak language and distinct cultural traditions.
  • B. Lipar
    Lipar is a small settlement located within the municipality of Kula in Serbia.
  • C. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • D. Lamut
    Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
  • E. Thon
    Thon is a wise and powerful Jedi Master from the Star Wars Expanded Universe, known for training notable Jedi such as Nomi Sunrider during the Old Republic era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.