Triple

T20135167
Position Surface form Disambiguated ID Type / Status
Subject Kiesen E491005 entity
Predicate hasNameInLanguage P15 FINISHED
Object de:Kiesen 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: de:Kiesen | Statement: [Kiesen, hasNameInLanguage, de:Kiesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de:Kiesen
Context triple: [Kiesen, hasNameInLanguage, de:Kiesen]
  • A. Kiesen chosen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • B. Kaindlkees
    Kaindlkees is a glacier located on the slopes of the Wiesbachhorn in the Austrian Alps.
  • C. Kis (English variant)
    Kis (English variant) is the English transliteration of the Hebrew name קִישׁ (Kish), a biblical personal name found in the Hebrew Bible.
  • D. Kesbern
    Kesbern is a district of the German city of Iserlohn in the state of North Rhine-Westphalia.
  • E. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.