Triple

T20516517
Position Surface form Disambiguated ID Type / Status
Subject Altes Rathaus (Munich) E503695 entity
Predicate locatedInOldTown P40 FINISHED
Object Altstadt-Lehel 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: Altstadt-Lehel | Statement: [Altes Rathaus (Munich), locatedInOldTown, Altstadt-Lehel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altstadt-Lehel
Context triple: [Altes Rathaus (Munich), locatedInOldTown, Altstadt-Lehel]
  • A. Altstadt-Lehel borough chosen
    Altstadt-Lehel is a central Munich borough that encompasses the historic Old Town and some of the city’s most prominent cultural and architectural landmarks.
  • B. Bockenheim
    Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
  • C. Altstadt
    Altstadt is the historic old town of Zürich, Switzerland, known for its medieval streets, preserved architecture, and cultural landmarks along the Limmat River.
  • D. Altstadt
    Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
  • E. Altstadt
    Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f41eee481908121e54c7bd691ca completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.