Triple

T7319974
Position Surface form Disambiguated ID Type / Status
Subject Princess Victoria of Saxe-Coburg-Saalfeld E168512 entity
Predicate residence P75 FINISHED
Object Amorbach
Amorbach is a historic town in Bavaria, Germany, known for its former Benedictine abbey and as a residence of the princely House of Leiningen.
E657230 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: Amorbach | Statement: [Princess Victoria of Saxe-Coburg-Saalfeld, residence, Amorbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amorbach
Context triple: [Princess Victoria of Saxe-Coburg-Saalfeld, residence, Amorbach]
  • A. Langenau
    Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
  • B. Freiolsheim
    Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • C. Botenheim
    Botenheim is a small village and district (Ortsteil) of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Schambach
    Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
  • E. Vendenheim
    Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
  • 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: Amorbach
Triple: [Princess Victoria of Saxe-Coburg-Saalfeld, residence, Amorbach]
Generated description
Amorbach is a historic town in Bavaria, Germany, known for its former Benedictine abbey and as a residence of the princely House of Leiningen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amorbach
Target entity description: Amorbach is a historic town in Bavaria, Germany, known for its former Benedictine abbey and as a residence of the princely House of Leiningen.
  • A. Langenau
    Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
  • B. Freiolsheim
    Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • C. Botenheim
    Botenheim is a small village and district (Ortsteil) of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Schambach
    Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
  • E. Vendenheim
    Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef95787c819086684c4286166b43 completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0644ebc8190971075d75e3a76d0 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 3:02 p.m.