Triple

T5193575
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart S-Bahn E117213 entity
Predicate hasStation P35 FINISHED
Object Stuttgart Stadtmitte E193556 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: Stuttgart Stadtmitte | Statement: [Stuttgart S-Bahn, hasStation, Stuttgart Stadtmitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuttgart Stadtmitte
Context triple: [Stuttgart S-Bahn, hasStation, Stuttgart Stadtmitte]
  • A. Stuttgart-Mitte chosen
    Stuttgart-Mitte is the central district of Stuttgart, Germany, encompassing the city’s historic core, main shopping streets, and many cultural and administrative institutions.
  • B. Stuttgart-Süd
    Stuttgart-Süd is a central urban district of Stuttgart, Germany, known for its historic residential areas, hillside views, and vibrant cultural and nightlife scene.
  • C. Stuttgart-West
    Stuttgart-West is a central, densely populated district of Stuttgart, Germany, known for its historic residential architecture, cultural venues, and vibrant urban atmosphere.
  • D. Stuttgart-Nord
    Stuttgart-Nord is a northern inner-city district of Stuttgart, Germany, known for its residential areas, green spaces, and hillside views over the city.
  • E. Stuttgart
    Stuttgart is a major city in southwestern Germany known as an important industrial, cultural, and economic center, particularly famous for its automotive industry and surrounding wine-growing region.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefc1c03c819085acf062fac2913c completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:46 p.m.