Triple

T9439521
Position Surface form Disambiguated ID Type / Status
Subject Lahn-Dill-Kreis E227605 entity
Predicate hasMunicipality P847 FINISHED
Object Mittenaar
Mittenaar is a small municipality in the Lahn-Dill district of the German state of Hesse.
E799385 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: Mittenaar | Statement: [Lahn-Dill-Kreis, hasMunicipality, Mittenaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mittenaar
Context triple: [Lahn-Dill-Kreis, hasMunicipality, Mittenaar]
  • A. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • B. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • C. Rinus
    Rinus is a Dutch given name, commonly used as a diminutive or short form of Marinus.
  • D. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • E. Matta
    Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
  • 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: Mittenaar
Triple: [Lahn-Dill-Kreis, hasMunicipality, Mittenaar]
Generated description
Mittenaar is a small municipality in the Lahn-Dill district of the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mittenaar
Target entity description: Mittenaar is a small municipality in the Lahn-Dill district of the German state of Hesse.
  • A. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • B. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • C. Rinus
    Rinus is a Dutch given name, commonly used as a diminutive or short form of Marinus.
  • D. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • E. Matta
    Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee36f908190826994db91b18466 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105909248190b3e02a1aa5f06b11 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111113c5c81909ff654734b211753 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:50 p.m.