Triple

T22829147
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Karlsruhe E565748 entity
Predicate traversedByRiver P165 FINISHED
Object Alb
The Alb is a river in the German state of Baden-Württemberg that flows through the district of Karlsruhe before joining the Rhine.
E1557851 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: Alb | Statement: [Landkreis Karlsruhe, traversedByRiver, Alb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alb
Context triple: [Landkreis Karlsruhe, traversedByRiver, Alb]
  • A. Albu
    Albu is a small rural settlement located in Järva County in central Estonia.
  • B. ALB
    ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
  • C. ALB
    ALB is the National Rail station code for Albrighton railway station in Shropshire, England.
  • D. ALB
    ALB is the three-letter country code used by the International Olympic Committee to represent Albania in the Olympic Games.
  • E. Alben
    Alben is a masculine given name most notably borne by Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • 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: Alb
Triple: [Landkreis Karlsruhe, traversedByRiver, Alb]
Generated description
The Alb is a river in the German state of Baden-Württemberg that flows through the district of Karlsruhe before joining the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alb
Target entity description: The Alb is a river in the German state of Baden-Württemberg that flows through the district of Karlsruhe before joining the Rhine.
  • A. Albu
    Albu is a small rural settlement located in Järva County in central Estonia.
  • B. ALB
    ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
  • C. ALB
    ALB is the National Rail station code for Albrighton railway station in Shropshire, England.
  • D. ALB
    ALB is the three-letter country code used by the International Olympic Committee to represent Albania in the Olympic Games.
  • E. Alben
    Alben is a masculine given name most notably borne by Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7ac71a881908b7a74a0e2ef99f8 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0baa5bc3f08190b39b53b20884fab8 completed May 19, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0babb6135481909132713e41bc6939 completed May 19, 2026, 12:15 a.m.
Created at: April 17, 2026, 3:34 p.m.