Triple

T18501415
Position Surface form Disambiguated ID Type / Status
Subject Bümpliz stop E452077 entity
Predicate locatedIn P40 FINISHED
Object Bümpliz 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: Bümpliz | Statement: [Bümpliz stop, locatedIn, Bümpliz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bümpliz
Context triple: [Bümpliz stop, locatedIn, Bümpliz]
  • A. Bümpliz chosen
    Bümpliz is a district of the Swiss city of Bern, known as a largely residential area with local industry and transport facilities.
  • B. Zwiggelte
    Zwiggelte is a small village in the Dutch province of Drenthe, known for its rural character and agricultural surroundings.
  • C. Bummi
    Bummi is a fictional female character who serves as the central protagonist in her story.
  • D. Bumehen
    Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
  • E. Zim Zum
    Zim Zum is an American guitarist best known for his work with Marilyn Manson during the mid-1990s industrial metal era.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.