Triple

T5219080
Position Surface form Disambiguated ID Type / Status
Subject Berner E117823 entity
Predicate pluralFormInGerman P5088 FINISHED
Object Berner E117823 NE FINISHED

How this triple was built (3 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: Berner | Statement: [Berner, pluralFormInGerman, Berner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berner
Context triple: [Berner, pluralFormInGerman, Berner]
  • A. Berner chosen
    A Berner is a resident or native of the Swiss city of Bern.
  • B. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • C. Bernex
    Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
  • D. Saanen
    Saanen is a picturesque Swiss village in the Bernese Oberland known for its traditional chalets, alpine scenery, and proximity to the upscale resort town of Gstaad.
  • E. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pluralFormInGerman
Context triple: [Berner, pluralFormInGerman, Berner]
  • A. hasPluralForm chosen
    Indicates that one term is the plural grammatical form of another term.
  • B. nounFormOf
    Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
  • C. grammaticalForm
    Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
  • D. nameInGerman
    Indicates that an entity is known or referred to by a specific name in the German language.
  • E. genderedFormOf
    Indicates that one term is a gender-specific variant or inflected form corresponding to another, more neutral or differently gendered term.
  • F. None of above.

Provenance (4 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ab6e63c8190964b2b65a0206134 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff0b15081908741aadfd351811c completed March 21, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69bd77bd2a448190a9ae5afd2585a7b9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:48 p.m.