Triple

T10988063
Position Surface form Disambiguated ID Type / Status
Subject Bad Kissingen (district) E259682 entity
Predicate contains P35 FINISHED
Object Oerlenbach
Oerlenbach is a municipality in the Bavarian region of Lower Franconia in Germany.
E898310 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: Oerlenbach | Statement: [Bad Kissingen (district), contains, Oerlenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oerlenbach
Context triple: [Bad Kissingen (district), contains, Oerlenbach]
  • A. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • B. Heppenbach
    Heppenbach is a village in the municipality of Amel in the German-speaking Community of eastern Belgium.
  • C. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Rohrbach
    Rohrbach is a German-language surname associated with various individuals and families of Germanic origin.
  • 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: Oerlenbach
Triple: [Bad Kissingen (district), contains, Oerlenbach]
Generated description
Oerlenbach is a municipality in the Bavarian region of Lower Franconia in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oerlenbach
Target entity description: Oerlenbach is a municipality in the Bavarian region of Lower Franconia in Germany.
  • A. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • B. Heppenbach
    Heppenbach is a village in the municipality of Amel in the German-speaking Community of eastern Belgium.
  • C. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Rohrbach
    Rohrbach is a Bavarian municipality located in the district of Pfaffenhofen an der Ilm in southern Germany.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.