Triple

T2938210
Position Surface form Disambiguated ID Type / Status
Subject Brocken E79319 entity
Predicate hasBuilding P105 FINISHED
Object Brocken hotel E79319 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: Brocken hotel | Statement: [Brocken, hasBuilding, Brocken hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brocken hotel
Context triple: [Brocken, hasBuilding, Brocken hotel]
  • A. Brocken chosen
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • B. Glocknerhaus
    Glocknerhaus is a well-known alpine mountain hut in the Austrian Alps that serves as a base for climbers and hikers heading toward the Grossglockner, Austria’s highest peak.
  • C. Erbdrostenhof
    Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
  • D. Petersberg Hotel
    Petersberg Hotel is a historic grand hotel near Bonn, Germany, best known as a former government guest house and the site of major international conferences and diplomatic agreements.
  • E. Königstuhl
    Königstuhl is a prominent hill overlooking Heidelberg in southwestern Germany, known for its panoramic views, observatories, and access via a historic funicular railway.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986c1c0c8190a6a9f17082438cfd completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086837ddc8190af27c7facd629691 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.