Triple

T14755460
Position Surface form Disambiguated ID Type / Status
Subject Graben (street) E346717 entity
Predicate connectsWith P37 FINISHED
Object Naglergasse
Naglergasse is a historic, narrow street in Vienna’s city center known for its traditional architecture, small shops, and cafés.
 E1137285 NE FINISHED

How this triple was built (4 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: Naglergasse | Statement: [Graben (street), connectsWith, Naglergasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naglergasse
Context triple: [Graben (street), connectsWith, Naglergasse]
  • A. Habsburgergasse
    Habsburgergasse is a historic street in central Vienna, Austria, known for its proximity to the Hofburg Palace and its role in the old imperial quarter.
  • B. Amthausgasse
    Amthausgasse is a street in the historic center of Bern, Switzerland, situated near the Bundesplatz and government buildings.
  • C. Hofstallgasse
    Hofstallgasse is a historic street in Salzburg, Austria, known for housing major cultural landmarks including the Großes Festspielhaus of the Salzburg Festival.
  • D. Augustinergasse
    Augustinergasse is a historic, picturesque lane in Zurich’s Old Town known for its colorful medieval houses and traditional shops.
  • E. Dorotheergasse
    Dorotheergasse is a historic street in central Vienna, Austria, known for its traditional architecture, antique shops, and proximity to major pedestrian thoroughfares.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naglergasse
Triple: [Graben (street), connectsWith, Naglergasse]
Generated description
Naglergasse is a historic, narrow street in Vienna’s city center known for its traditional architecture, small shops, and cafés.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naglergasse
Target entity description: Naglergasse is a historic, narrow street in Vienna’s city center known for its traditional architecture, small shops, and cafés.
  • A. Habsburgergasse
    Habsburgergasse is a historic street in central Vienna, Austria, known for its proximity to the Hofburg Palace and its role in the old imperial quarter.
  • B. Amthausgasse
    Amthausgasse is a street in the historic center of Bern, Switzerland, situated near the Bundesplatz and government buildings.
  • C. Hofstallgasse
    Hofstallgasse is a historic street in Salzburg, Austria, known for housing major cultural landmarks including the Großes Festspielhaus of the Salzburg Festival.
  • D. Augustinergasse
    Augustinergasse is a historic, picturesque lane in Zurich’s Old Town known for its colorful medieval houses and traditional shops.
  • E. Dorotheergasse chosen
    Dorotheergasse is a historic street in central Vienna, Austria, known for its traditional architecture, antique shops, and proximity to major pedestrian thoroughfares.
  • F. None of above.

Provenance (5 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86ea50c819083d0bbed4c459041 completed May 9, 2026, 5:38 a.m.
NEDg Description generation batch_69fec9b5dc18819087d088e094c3c7b4 completed May 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69feca0d38088190910dbf4f2538a9d4 completed May 9, 2026, 5:45 a.m.
Created at: April 10, 2026, 1:30 a.m.