Triple

T4342512
Position Surface form Disambiguated ID Type / Status
Subject Roth E97815 entity
Predicate hasSubdivision P747 FINISHED
Object Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
E461264 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: Bernlohe | Statement: [Roth, hasSubdivision, Bernlohe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernlohe
Context triple: [Roth, hasSubdivision, Bernlohe]
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • D. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • E. Böbing
    Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
  • 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: Bernlohe
Triple: [Roth, hasSubdivision, Bernlohe]
Generated description
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bernlohe
Target entity description: Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • D. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • E. Böbing
    Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351878c148190b384053479d41caf completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03295174819096d299919a6d7e57 completed March 21, 2026, 2:32 a.m.
NEDg Description generation batch_69be04ad843c8190b3c8dfa4a46e727b completed March 21, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69be0529868c8190b20e8966315b263a completed March 21, 2026, 2:40 a.m.
Created at: March 12, 2026, 11:14 p.m.