Triple

T5301160
Position Surface form Disambiguated ID Type / Status
Subject Ortenaukreis E119983 entity
Predicate containsMunicipality P852 FINISHED
Object Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
 E514824 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: Hohberg | Statement: [Ortenaukreis, containsMunicipality, Hohberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hohberg
Context triple: [Ortenaukreis, containsMunicipality, Hohberg]
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Hohneck
    Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • 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: Hohberg
Triple: [Ortenaukreis, containsMunicipality, Hohberg]
Generated description
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hohberg
Target entity description: Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Hohneck
    Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8509f67c8190b2f82a8370301a59 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2907e4cc8190a25f457c17c747ff completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2996154c81909bd5aca5cdc4e426 completed March 21, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf29f6a5b0819096e53ce3a7e14266 completed March 21, 2026, 11:29 p.m.
Created at: March 20, 2026, 1:53 p.m.