Triple

T17351307
Position Surface form Disambiguated ID Type / Status
Subject Savica Waterfall E421817 entity
Predicate nearbySettlement P350 FINISHED
Object Ukanc 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: Ukanc | Statement: [Savica Waterfall, nearbySettlement, Ukanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukanc
Context triple: [Savica Waterfall, nearbySettlement, Ukanc]
  • A. Ukanc chosen
    Ukanc is a small, scenic settlement in Slovenia’s Julian Alps, known as a tranquil gateway to Lake Bohinj and the surrounding Triglav National Park.
  • B. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • C. Uzkoye
    Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
  • D. Uzgen
    Uzgen is an ancient city in present-day Kyrgyzstan, historically significant as a major political and cultural center along the Silk Road and a former capital of the Kara-Khanid Khanate.
  • E. Alacakaya
    Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.