Triple

T18863479
Position Surface form Disambiguated ID Type / Status
Subject Tabomatang E461371 entity
Predicate hasCountryCode P189 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: [Tabomatang, hasCountryCode, KI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KI
Context triple: [Tabomatang, hasCountryCode, 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
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • D. KI chosen
    KI is the ISO 3166-1 alpha-2 country code for Kiribati, a Pacific island nation.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a304d4819092f14b7932d01afe completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.