Triple

T5854840
Position Surface form Disambiguated ID Type / Status
Subject Historic Centre of Vienna E130123 entity
Predicate hasLandmark P105 FINISHED
Object Schottenstift E346722 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: Schottenstift | Statement: [Historic Centre of Vienna, hasLandmark, Schottenstift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schottenstift
Context triple: [Historic Centre of Vienna, hasLandmark, Schottenstift]
  • A. Schottenstift chosen
    Schottenstift is a historic Benedictine monastery and church complex in Vienna, Austria, known for its medieval origins and significant cultural and architectural heritage.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Pfeffer
    Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • D. Schiff
    Schiff is a surname most prominently associated with American actor Richard Schiff, known for his role as Toby Ziegler on the television series "The West Wing."
  • E. Keutenberg
    Keutenberg is a famously steep and decisive hill in the Dutch Limburg region, often shaping the outcome of professional cycling races.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03554651c8190b3009d41eecf6779 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1bc58d081908568294278cbf3a9 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.