Triple

T16223022
Position Surface form Disambiguated ID Type / Status
Subject Winterthurer E393776 entity
Predicate hasPluralForm P5088 FINISHED
Object Winterthurer E393776 NE FINISHED

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: Winterthurer | Statement: [Winterthurer, hasPluralForm, Winterthurer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winterthurer
Context triple: [Winterthurer, hasPluralForm, Winterthurer]
  • A. Winterthurer chosen
    Winterthurer is the German term for an inhabitant or native of the Swiss city of Winterthur.
  • 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. Altdorf (Uri)
    Altdorf (Uri) is a historic town in central Switzerland, known as the capital of the canton of Uri and closely associated with the William Tell legend.
  • D. Regensdorf
    Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
  • E. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d23e63881908806920d878f2adb completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.