Triple

T2379830
Position Surface form Disambiguated ID Type / Status
Subject Northern Crimea E46285 entity
Predicate historicallyInhabitedBy P3032 FINISHED
Object Nogais E117108 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: Nogais | Statement: [Northern Crimea, historicallyInhabitedBy, Nogais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogais
Context triple: [Northern Crimea, historicallyInhabitedBy, Nogais]
  • A. Nogais chosen
    Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
  • B. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • C. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • D. Nobol
    Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
  • E. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b60c8c819080e4f682e4362a93 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b23680819085e0c7da7b4da9e1 completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.