Triple

T20062078
Position Surface form Disambiguated ID Type / Status
Subject Kisko E499500 entity
Predicate hasNameInFinnish P23453 FINISHED
Object Kisko 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: Kisko | Statement: [Kisko, hasNameInFinnish, Kisko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisko
Context triple: [Kisko, hasNameInFinnish, Kisko]
  • A. Kisko chosen
    Kisko is a former municipality in southwestern Finland that is now part of the town of Salo.
  • B. Kogo
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • C. Kuo
    Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
  • D. Koho
    Koho is an Austroasiatic language spoken by the Koho ethnic group in Vietnam’s Central Highlands.
  • E. Kisi
    Kisi is an indigenous Georgian white grape variety from the Kakheti region, known for producing aromatic, full-bodied wines often made in traditional qvevri.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.