Triple

T21457849
Position Surface form Disambiguated ID Type / Status
Subject Au (St. Gallen) E529387 entity
Predicate hasSettlement P1068 FINISHED
Object Hinterburg
Hinterburg is a small settlement in the municipality of Au in the Swiss canton of St. Gallen.
E1487964 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: Hinterburg | Statement: [Au (St. Gallen), hasSettlement, Hinterburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinterburg
Context triple: [Au (St. Gallen), hasSettlement, Hinterburg]
  • A. Riffelberg
    Riffelberg is a scenic mountain stop in the Swiss Alps near Zermatt, known for its panoramic views of the Matterhorn and surrounding peaks.
  • B. Heretsried
    Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
  • C. Marienberg
    Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
  • D. Lutterberg
    Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
  • E. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • 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: Hinterburg
Triple: [Au (St. Gallen), hasSettlement, Hinterburg]
Generated description
Hinterburg is a small settlement in the municipality of Au in the Swiss canton of St. Gallen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hinterburg
Target entity description: Hinterburg is a small settlement in the municipality of Au in the Swiss canton of St. Gallen.
  • A. Riffelberg
    Riffelberg is a scenic mountain stop in the Swiss Alps near Zermatt, known for its panoramic views of the Matterhorn and surrounding peaks.
  • B. Heretsried
    Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
  • C. Marienberg
    Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
  • D. Lutterberg
    Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
  • E. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e12be8f481909f6f5fa9321e375e completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e20fc78c8190938ec8f40ff98772 completed May 17, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2b77d90819083138b6cbe80eb85 completed May 17, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:08 p.m.