Triple

T15875738
Position Surface form Disambiguated ID Type / Status
Subject Kocher E384948 entity
Predicate flowsThrough P225 FINISHED
Object Kocherstetten
Kocherstetten is a small settlement in Germany situated along the Kocher River.
E1213609 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: Kocherstetten | Statement: [Kocher, flowsThrough, Kocherstetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kocherstetten
Context triple: [Kocher, flowsThrough, Kocherstetten]
  • A. Reichstett
    Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
  • B. Feldstetten
    Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • C. Altstetten
    Altstetten is a district of the city of Zurich in Switzerland, known as a major residential and transport hub in the Limmat Valley region.
  • D. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • E. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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: Kocherstetten
Triple: [Kocher, flowsThrough, Kocherstetten]
Generated description
Kocherstetten is a small settlement in Germany situated along the Kocher River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kocherstetten
Target entity description: Kocherstetten is a small settlement in Germany situated along the Kocher River.
  • A. Reichstett
    Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
  • B. Feldstetten
    Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • C. Altstetten
    Altstetten is a district of the city of Zurich in Switzerland, known as a major residential and transport hub in the Limmat Valley region.
  • D. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • E. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fcffbc8190ba6d133107b83a7f completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00456b590c8190949fd23cb5cec1e8 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a004771e5108190a7fd4f6e274e455a completed May 10, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_6a00482646c88190a8e3a5299146b504 completed May 10, 2026, 8:56 a.m.
Created at: April 10, 2026, 4:51 a.m.