Triple

T9833942
Position Surface form Disambiguated ID Type / Status
Subject Marburg-Biedenkopf E239053 entity
Predicate containsMunicipality P852 FINISHED
Object Lohra
Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
E824434 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: Lohra | Statement: [Marburg-Biedenkopf, containsMunicipality, Lohra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lohra
Context triple: [Marburg-Biedenkopf, containsMunicipality, Lohra]
  • A. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • B. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • C. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • D. Godwari
    Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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: Lohra
Triple: [Marburg-Biedenkopf, containsMunicipality, Lohra]
Generated description
Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lohra
Target entity description: Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • A. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • B. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • C. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • D. Godwari
    Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3385054819094145c96204e3f0d completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c448388190818e4cc5e3a42dfc completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6affc3c8190839a4db8f4271309 completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d772de00819089eed8be9f5ce3ce completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:32 p.m.