Triple

T19062996
Position Surface form Disambiguated ID Type / Status
Subject Plazza federala E466582 entity
Predicate hasNameInLanguage P15 FINISHED
Object Bundesplatz (German) 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: Bundesplatz (German) | Statement: [Plazza federala, hasNameInLanguage, Bundesplatz (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesplatz (German)
Context triple: [Plazza federala, hasNameInLanguage, Bundesplatz (German)]
  • A. Bundesplatz chosen
    Bundesplatz is the central public square in Bern, Switzerland, located in front of the Federal Palace and often used for political events, markets, and public gatherings.
  • B. Bundesplatz
    Bundesplatz is a public square and transport hub in Berlin that serves as an important interchange point for city and suburban rail services.
  • C. Askanischer Platz
    Askanischer Platz is a public square in central Berlin, Germany, historically associated with major railway and urban developments in the city.
  • D. Europaplatz
    Europaplatz is a public square in Munich, Germany, known as a local transport and urban hub within the city.
  • E. Maximilianplatz
    Maximilianplatz is a square in central Munich known for its green spaces, monuments, and location along the prestigious Maximilianstraße.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e195ac048190a57b57e585d022d4 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.