Triple

T4552695
Position Surface form Disambiguated ID Type / Status
Subject Untersbergbahn E120402 entity
Predicate connects P390 FINISHED
Object Geiereck
Geiereck is a mountain station area on the Untersberg massif in the Alps, serving as the upper terminus and viewpoint for the Untersbergbahn cable car.
 E453667 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: Geiereck | Statement: [Untersbergbahn, connects, Geiereck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geiereck
Context triple: [Untersbergbahn, connects, Geiereck]
  • A. Hohegeiß
    Hohegeiß is a mountain village and health resort in the Harz region of central Germany, known for its scenic landscapes and outdoor recreation.
  • B. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • C. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • D. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • E. Röcken
    Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
  • 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: Geiereck
Triple: [Untersbergbahn, connects, Geiereck]
Generated description
Geiereck is a mountain station area on the Untersberg massif in the Alps, serving as the upper terminus and viewpoint for the Untersbergbahn cable car.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geiereck
Target entity description: Geiereck is a mountain station area on the Untersberg massif in the Alps, serving as the upper terminus and viewpoint for the Untersbergbahn cable car.
  • A. Hohegeiß
    Hohegeiß is a mountain village and health resort in the Harz region of central Germany, known for its scenic landscapes and outdoor recreation.
  • B. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • C. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • D. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • E. Röcken
    Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
  • F. None of above. chosen

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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd581160e08190b715a8ce5c3e6c9b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3968b4c819082314a0dd9fb4202 completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd53c2ddc8190b73a31f9bb74be3e completed March 20, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69bdd563a7fc8190a7091add8ef0e717 completed March 20, 2026, 11:16 p.m.
Created at: March 20, 2026, 1:09 p.m.