Triple

T16510268
Position Surface form Disambiguated ID Type / Status
Subject Maienfeld E401040 entity
Predicate borderedBy P224 FINISHED
Object Pfäfers E400348 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: Pfäfers | Statement: [Maienfeld, borderedBy, Pfäfers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfäfers
Context triple: [Maienfeld, borderedBy, Pfäfers]
  • A. Pfäfers chosen
    Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
  • B. Pfaeff
    Pfaeff is an alternative spelling or transliteration of the surname "Pfaff," which is associated with various people and brands, notably the German sewing machine manufacturer.
  • C. Hofbieber
    Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
  • D. Schöpfl
    Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
  • E. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608038288190925586dfb7e64689 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.