Triple

T35813518
Position Surface form Disambiguated ID Type / Status
Subject Mariahilf E1035293 entity
Predicate hasPublicTransportConnection P3791 FINISHED
Object Vienna U-Bahn station Kettenbrückengasse
Vienna U-Bahn station Kettenbrückengasse is an underground metro station in Vienna, Austria, serving the Kettenbrückengasse area near the Naschmarkt and connecting it to the city’s rapid transit network.
E2158381 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: Vienna U-Bahn station Kettenbrückengasse | Statement: [Mariahilf, hasPublicTransportConnection, Vienna U-Bahn station Kettenbrückengasse]
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: Vienna U-Bahn station Kettenbrückengasse
Triple: [Mariahilf, hasPublicTransportConnection, Vienna U-Bahn station Kettenbrückengasse]
Generated description
Vienna U-Bahn station Kettenbrückengasse is an underground metro station in Vienna, Austria, serving the Kettenbrückengasse area near the Naschmarkt and connecting it to the city’s rapid transit network.

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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8dd45d08190802eecaa2c07ed6c completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c161444819098f66b4b4b6ea379 completed June 22, 2026, 2:21 a.m.
NEDg Description generation batch_6a389e468b8481908305e71089475d55 completed June 22, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a389e98e1fc819081e89cab7181886d completed June 22, 2026, 2:31 a.m.
Created at: May 3, 2026, 4:06 p.m.