Triple

T9012299
Position Surface form Disambiguated ID Type / Status
Subject Königstein im Taunus E215503 entity
Predicate hasCityDistrict P2709 FINISHED
Object Falkenstein
Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
E773603 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: Falkenstein | Statement: [Königstein im Taunus, hasCityDistrict, Falkenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falkenstein
Context triple: [Königstein im Taunus, hasCityDistrict, Falkenstein]
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Arzdorf
    Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Marienthal
    Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
  • 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: Falkenstein
Triple: [Königstein im Taunus, hasCityDistrict, Falkenstein]
Generated description
Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Falkenstein
Target entity description: Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Arzdorf
    Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Marienthal
    Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:06 p.m.