Triple

T13406817
Position Surface form Disambiguated ID Type / Status
Subject Tamina E319980 entity
Predicate flowsThrough P225 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: [Tamina, flowsThrough, Pfäfers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfäfers
Context triple: [Tamina, flowsThrough, 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. Schöpfl
    Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Pretzsch
    Pretzsch is a small German town in Saxony-Anhalt, historically notable as the birthplace of influential 19th-century piano teacher Friedrich Wieck.
  • E. Pfeffingen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4be498819094798473a1bfd853 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ad4448190b4fb99abcc00430b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.