Triple

T14835438
Position Surface form Disambiguated ID Type / Status
Subject Michaelerplatz E348817 entity
Predicate connectedTo P37 FINISHED
Object Herrengasse E462700 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: Herrengasse | Statement: [Michaelerplatz, connectedTo, Herrengasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herrengasse
Context triple: [Michaelerplatz, connectedTo, Herrengasse]
  • A. Drosselgasse
    Drosselgasse is a famous narrow cobblestone lane in Rüdesheim am Rhein, Germany, renowned for its wine taverns, live music, and lively tourist atmosphere in the Rhine Valley wine region.
  • B. Jungferngasse
    Jungferngasse is a side street in Vienna’s historic city center, branching off from the prominent Graben shopping and promenade area.
  • C. Dorotheergasse
    Dorotheergasse is a historic street in central Vienna, Austria, known for its traditional architecture, antique shops, and proximity to major pedestrian thoroughfares.
  • D. Ballhausgasse chosen
    Ballhausgasse is a street in central Vienna, Austria, located near the historic Ballhausplatz and the Austrian federal government district.
  • E. Marktgasse
    Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133571008190b7e7867208095b90 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 1:52 a.m.