Triple

T18095388
Position Surface form Disambiguated ID Type / Status
Subject City of Zug E433070 entity
Predicate locatedOn P40 FINISHED
Object Lake Zug 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: Lake Zug | Statement: [City of Zug, locatedOn, Lake Zug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Zug
Context triple: [City of Zug, locatedOn, Lake Zug]
  • A. Lake Zug chosen
    Lake Zug is a picturesque glacial lake in central Switzerland, known for its scenic alpine surroundings, mild climate, and lakeside towns such as Zug and Arth.
  • B. Lake Albert
    Lake Albert is one of Africa’s Great Lakes, lying on the border between Uganda and the Democratic Republic of the Congo within the western branch of the East African Rift.
  • C. Lake Albert
    Lake Albert is a shallow freshwater lake in South Australia, connected to the lower Murray River system and known for its ecological significance and cultural importance to Indigenous communities.
  • D. Lake Chala
    Lake Chala is a crater lake on the border between Kenya and Tanzania, renowned for its steep volcanic caldera, clear turquoise waters, and rich biodiversity.
  • E. Uvs Lake
    Uvs Lake is a large saline lake in a remote basin of western Mongolia and southern Russia, recognized as a UNESCO World Heritage Site for its unique biodiversity and diverse ecosystems.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1c56848190be0b8c80b30dba6c completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.