Triple

T4803381
Position Surface form Disambiguated ID Type / Status
Subject Ringstrasse, Vienna E106887 entity
Predicate hasPart P35 FINISHED
Object Kärntner Ring E348816 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: Kärntner Ring | Statement: [Ringstrasse, Vienna, hasPart, Kärntner Ring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärntner Ring
Context triple: [Ringstrasse, Vienna, hasPart, Kärntner Ring]
  • A. Kärntner Straße chosen
    Kärntner Straße is one of Vienna’s most famous and busiest shopping streets, known for its pedestrian zone, historic architecture, and central location near major landmarks like St. Stephen’s Cathedral.
  • B. Bratislava city ring road
    The Bratislava city ring road is a major urban bypass system encircling Slovakia’s capital, designed to divert transit traffic from the city center and connect key bridges, highways, and districts.
  • C. Rämistrasse
    Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
  • D. Landstraße, Vienna
    Landstraße, Vienna is the city’s 3rd municipal district, known for its mix of historic architecture, embassies, and major landmarks such as the Belvedere complex.
  • E. Nordwestring
    Nordwestring is a terminus station on the Nuremberg U-Bahn rapid transit network in Nuremberg, Germany.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c432ad4819095106dd6e2968cfb completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4403ef888190b41c9a0db6bf47aa completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.