Triple

T17972295
Position Surface form Disambiguated ID Type / Status
Subject Franconian Switzerland E449375 entity
Predicate hasTown P847 FINISHED
Object Pottenstein
Pottenstein is a small historic town in the Franconian Switzerland region of Bavaria, Germany, known for its dramatic rocky landscape, caves, and medieval castle.
E1299136 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: Pottenstein | Statement: [Franconian Switzerland, hasTown, Pottenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pottenstein
Context triple: [Franconian Switzerland, hasTown, Pottenstein]
  • A. Pottenstein
    Pottenstein is a small town in Lower Austria known for its scenic surroundings and traditional Austrian character.
  • B. Plöckenstein
    Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
  • C. Pfaffenstein
    Pfaffenstein is a prominent table mountain in Germany’s Elbe Sandstone Mountains, known for its striking rock formations and popular hiking routes.
  • D. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • E. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • 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: Pottenstein
Triple: [Franconian Switzerland, hasTown, Pottenstein]
Generated description
Pottenstein is a small historic town in the Franconian Switzerland region of Bavaria, Germany, known for its dramatic rocky landscape, caves, and medieval castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pottenstein
Target entity description: Pottenstein is a small historic town in the Franconian Switzerland region of Bavaria, Germany, known for its dramatic rocky landscape, caves, and medieval castle.
  • A. Pottenstein
    Pottenstein is a small town in Lower Austria known for its scenic surroundings and traditional Austrian character.
  • B. Plöckenstein
    Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
  • C. Pfaffenstein
    Pfaffenstein is a prominent table mountain in Germany’s Elbe Sandstone Mountains, known for its striking rock formations and popular hiking routes.
  • D. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • E. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fb58c481909726d6f916f6f646 completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033015cb748190aaedeb11d7ac0313 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a033146fbbc81908c28b8dc53517f53 completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0333c5fb888190b73cbd9f032dbc6e completed May 12, 2026, 2:05 p.m.
Created at: April 10, 2026, 10:22 a.m.