Triple

T5371353
Position Surface form Disambiguated ID Type / Status
Subject North Hesse E108856 entity
Predicate hasCity P316 FINISHED
Object Homberg (Efze)
Homberg (Efze) is a small historic town in the Schwalm-Eder district of northern Hesse, Germany, known for its medieval old town and hilltop castle.
 E516242 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: Homberg (Efze) | Statement: [North Hesse, hasCity, Homberg (Efze)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Homberg (Efze)
Context triple: [North Hesse, hasCity, Homberg (Efze)]
  • A. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • B. Hof (Saale)
    Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
  • C. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • D. Hasselfelde
    Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
  • E. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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: Homberg (Efze)
Triple: [North Hesse, hasCity, Homberg (Efze)]
Generated description
Homberg (Efze) is a small historic town in the Schwalm-Eder district of northern Hesse, Germany, known for its medieval old town and hilltop castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Homberg (Efze)
Target entity description: Homberg (Efze) is a small historic town in the Schwalm-Eder district of northern Hesse, Germany, known for its medieval old town and hilltop castle.
  • A. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • B. Hof (Saale)
    Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
  • C. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • D. Hasselfelde
    Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
  • E. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29347a18819083115fe68db8e708 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a23ba1881909ddc549728bbc2d3 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2e6d5f9081908327dff0058241f0 completed March 21, 2026, 11:49 p.m.
Created at: March 20, 2026, 2:02 p.m.