Triple

T19462802
Position Surface form Disambiguated ID Type / Status
Subject Gütersloh E486915 entity
Predicate hasTwinTown P919 FINISHED
Object Falun 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: Falun | Statement: [Gütersloh, hasTwinTown, Falun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falun
Context triple: [Gütersloh, hasTwinTown, Falun]
  • A. Falun chosen
    Falun is a historic Swedish city known for its former copper mine, a UNESCO World Heritage Site, and as the capital of Dalarna County in central Sweden.
  • B. Falam
    Falam is a town in northwestern Myanmar’s Chin State, historically an important administrative and cultural center of the Chin people.
  • C. Flon
    Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
  • D. Furud
    Furud is a relatively bright main-sequence star in the constellation Canis Major, visible to the naked eye in the night sky.
  • E. Floen
    Floen is a small lake situated in Norway’s Oldedalen valley, known for its scenic glacial surroundings.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cd6c148190933b4d6bfe84cbe1 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.