Triple

T21832784
Position Surface form Disambiguated ID Type / Status
Subject Basel S-Bahn E539039 entity
Predicate hasTerminus P388 FINISHED
Object Laufenburg 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: Laufenburg | Statement: [Basel S-Bahn, hasTerminus, Laufenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laufenburg
Context triple: [Basel S-Bahn, hasTerminus, Laufenburg]
  • A. Laufenburg chosen
    Laufenburg is a historic town on the Rhine River, straddling the border between Switzerland and Germany and known for its medieval architecture and river scenery.
  • B. Lauffeld
    Lauffeld is a village in present-day Belgium best known as the site of the 1747 Battle of Lauffeld during the War of the Austrian Succession.
  • C. Roggenburg
    Roggenburg is a small municipality in the Bavarian district of Neu-Ulm in southern Germany, known for its historic Premonstratensian monastery and rural setting.
  • D. Friedlingen
    Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
  • E. Bopfingen
    Bopfingen is a small historic town in eastern Baden-Württemberg, Germany, known for its scenic setting near the Ipf hill and its well-preserved medieval character.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.