Triple

T7737028
Position Surface form Disambiguated ID Type / Status
Subject Esztergom E175407 entity
Predicate hasTwinTown P919 FINISHED
Object Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
 E685847 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: Ehingen | Statement: [Esztergom, hasTwinTown, Ehingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ehingen
Context triple: [Esztergom, hasTwinTown, Ehingen]
  • 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. Enzweihingen
    Enzweihingen is a village in the German state of Baden-Württemberg, known historically as the place where former Nazi foreign minister Konstantin von Neurath died.
  • C. Ettenheim
    Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
  • D. Hilzingen
    Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
  • E. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • 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: Ehingen
Triple: [Esztergom, hasTwinTown, Ehingen]
Generated description
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ehingen
Target entity description: Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
  • 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. Enzweihingen
    Enzweihingen is a village in the German state of Baden-Württemberg, known historically as the place where former Nazi foreign minister Konstantin von Neurath died.
  • C. Ettenheim
    Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
  • D. Hilzingen
    Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
  • E. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035923108190842025631e2314cc completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3958ac8190a48ba07bd8ea3251 completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8beb918488190935a1a78109e2073 completed March 29, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf231db8819091da104ba1b47665 completed March 29, 2026, 5:56 a.m.
Created at: March 27, 2026, 4:07 p.m.