Triple

T8374638
Position Surface form Disambiguated ID Type / Status
Subject Saar E197544 entity
Predicate confluenceLocation P3421 FINISHED
Object Konz
Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
 E729645 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: Konz | Statement: [Saar, confluenceLocation, Konz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konz
Context triple: [Saar, confluenceLocation, Konz]
  • A. Kon
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • D. Konrad
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • E. Kom
    Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
  • 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: Konz
Triple: [Saar, confluenceLocation, Konz]
Generated description
Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konz
Target entity description: Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
  • A. Kon
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • D. Konrad
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • E. Kom
    Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
NEDg Description generation batch_69cdebf944008190b7e758ac59257e22 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdeccedf4081909cab853ee1ff1b82 completed April 2, 2026, 4:13 a.m.
Created at: March 30, 2026, 6:01 p.m.