Triple

T21142647
Position Surface form Disambiguated ID Type / Status
Subject Gerlafingen E520970 entity
Predicate locatedIn P40 FINISHED
Object district of Wasseramt 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: district of Wasseramt | Statement: [Gerlafingen, locatedIn, district of Wasseramt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: district of Wasseramt
Context triple: [Gerlafingen, locatedIn, district of Wasseramt]
  • A. Wasseramt District chosen
    Wasseramt District is an administrative district in the canton of Solothurn in Switzerland, comprising several municipalities including Zuchwil.
  • B. Wasseramt region
    The Wasseramt region is an administrative and geographic area in the canton of Solothurn in Switzerland, encompassing several municipalities including Biberist.
  • C. Bavarian water authorities
    The Bavarian water authorities are regional governmental agencies in Bavaria responsible for overseeing water management, including rivers, lakes, flood protection, and water quality.
  • D. Bezirksamt
    Bezirksamt is the district-level administrative authority in Berlin responsible for local governance and public services within a specific borough.
  • E. Dukenburg district
    Dukenburg district is a residential area in the southwestern part of Nijmegen, Netherlands, characterized by post-war housing estates, green spaces, and local shopping facilities.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.