Triple

T17071643
Position Surface form Disambiguated ID Type / Status
Subject Wiesbaden Hauptbahnhof E414234 entity
Predicate serves P98 FINISHED
Object city of Wiesbaden E254546 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: city of Wiesbaden | Statement: [Wiesbaden Hauptbahnhof, serves, city of Wiesbaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Wiesbaden
Context triple: [Wiesbaden Hauptbahnhof, serves, city of Wiesbaden]
  • A. Wiesbaden chosen
    Wiesbaden is a historic spa city in western Germany known for its thermal springs, elegant architecture, and role as a regional administrative and cultural center.
  • B. Offenbach am Main
    Offenbach am Main is a city in central Germany located on the River Main, adjacent to Frankfurt, known historically for its leather industry and as a regional economic and cultural center.
  • C. Biebrich, Wiesbaden
    Biebrich, Wiesbaden is a district of the German city of Wiesbaden, known for its historic riverside location on the Rhine and the Baroque Biebrich Palace.
  • D. Wetzlar
    Wetzlar is a historic German city in the state of Hesse, known for its medieval old town and its long tradition in optics and precision engineering.
  • E. Ingelheim am Rhein
    Ingelheim am Rhein is a town in western Germany on the Rhine River, known historically as an imperial residence of Charlemagne and today for its wine production and pharmaceutical 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc1b7d48190979a848b4188cb22 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f5d34081908bd9e88fb5772ddc completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.