Triple

T16351523
Position Surface form Disambiguated ID Type / Status
Subject Peoples of the Caucasus E397071 entity
Predicate hasSubgroup P747 FINISHED
Object Laks E111144 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: Laks | Statement: [Peoples of the Caucasus, hasSubgroup, Laks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laks
Context triple: [Peoples of the Caucasus, hasSubgroup, 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. Pesce
    Pesce is an Italian surname most notably associated with Gaetano Pesce, a renowned architect and designer known for his experimental, sculptural furniture and radical use of materials.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facbf60c8190aa47d4c45ff59354 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db6375c81908c64dbe2bc987b1a completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.