Triple

T4847909
Position Surface form Disambiguated ID Type / Status
Subject Mozart’s Birthplace E108336 entity
Predicate locatedIn P40 FINISHED
Object Getreidegasse E108335 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: Getreidegasse | Statement: [Mozart’s Birthplace, locatedIn, Getreidegasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getreidegasse
Context triple: [Mozart’s Birthplace, locatedIn, Getreidegasse]
  • A. Getreidegasse chosen
    Getreidegasse is a famous historic shopping street in Salzburg’s Old Town, known for its narrow medieval houses, ornate guild signs, and as the birthplace of Wolfgang Amadeus Mozart.
  • B. Gerichtstraße
    Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
  • C. Schauplatzgasse
    Schauplatzgasse is a street in the historic center of Bern, Switzerland, located near the Federal Palace and the Bundesplatz.
  • D. Kochergasse
    Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
  • E. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1aefdc8190910b78615730f991 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77907130819084dc6a5eaff42a27 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:25 p.m.