Triple

T18323857
Position Surface form Disambiguated ID Type / Status
Subject Taborio E438950 entity
Predicate hasISO3166-1Alpha2CodeOfCountry P19525 FINISHED
Object KI 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: KI | Statement: [Taborio, hasISO3166-1Alpha2CodeOfCountry, KI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KI
Context triple: [Taborio, hasISO3166-1Alpha2CodeOfCountry, KI]
  • A. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • B. KI chosen
    KI is the ISO 3166-1 alpha-2 country code for Kiribati, a Pacific island nation.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. Ki
    Ki is the Sumerian earth goddess and primordial mother figure in Mesopotamian mythology, often paired with the sky god Anu in creation traditions.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa93fb0819083293b80e8400c4e completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.