Triple

T8276365
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart-Mitte E193556 entity
Predicate contains P35 FINISHED
Object Rathaus Stuttgart E172462 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: Rathaus Stuttgart | Statement: [Stuttgart-Mitte, contains, Rathaus Stuttgart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathaus Stuttgart
Context triple: [Stuttgart-Mitte, contains, Rathaus Stuttgart]
  • A. Stuttgart City Hall chosen
    Stuttgart City Hall is the main administrative building and seat of the municipal government of Stuttgart, Germany.
  • B. Rastatt town hall
    Rastatt town hall is the historic municipal building in the German town of Rastatt, serving as the seat of the local government and a notable architectural landmark.
  • C. Old Castle, Stuttgart
    Old Castle in Stuttgart is a historic Renaissance-era fortress and former ducal residence that now serves as a museum and landmark in the city’s center.
  • D. New Palace, Stuttgart
    The New Palace in Stuttgart is an 18th-century Baroque royal residence that served as the main city palace of the rulers of Württemberg and now houses government offices and cultural events.
  • E. Karlsruhe Town Hall
    Karlsruhe Town Hall is the historic administrative building of the city of Karlsruhe, Germany, prominently located on the central Marktplatz.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb798d69508190b581ad8a38730175 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6859cbc48190835dffa7de054d15 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:51 p.m.