Triple

T13691389
Position Surface form Disambiguated ID Type / Status
Subject Unterallgäu E328272 entity
Predicate containsMunicipality P852 FINISHED
Object Pleß
Pleß is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
E1055625 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: Pleß | Statement: [Unterallgäu, containsMunicipality, Pleß]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleß
Context triple: [Unterallgäu, containsMunicipality, Pleß]
  • A. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • B. Gadebusch
    Gadebusch is a small historic town in northern Germany known for its medieval architecture and rural surroundings.
  • C. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • D. Teuschnitz
    Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
  • E. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • 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: Pleß
Triple: [Unterallgäu, containsMunicipality, Pleß]
Generated description
Pleß is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pleß
Target entity description: Pleß is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • A. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • B. Gadebusch
    Gadebusch is a small historic town in northern Germany known for its medieval architecture and rural surroundings.
  • C. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • D. Teuschnitz
    Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
  • E. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944b93d88190806d6b5735f7e794 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f795b1c4948190b3c17acb26cd5b6e completed May 3, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:53 p.m.