Triple

T9010320
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Günzburg E215451 entity
Predicate contains P35 FINISHED
Object Ichenhausen
Ichenhausen is a small town in the Bavarian region of Swabia in southern Germany, known for its historic architecture and former Jewish community.
E774251 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: Ichenhausen | Statement: [Landkreis Günzburg, contains, Ichenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ichenhausen
Context triple: [Landkreis Günzburg, contains, Ichenhausen]
  • A. Hainichen
    Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • E. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, 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: Ichenhausen
Triple: [Landkreis Günzburg, contains, Ichenhausen]
Generated description
Ichenhausen is a small town in the Bavarian region of Swabia in southern Germany, known for its historic architecture and former Jewish community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ichenhausen
Target entity description: Ichenhausen is a small town in the Bavarian region of Swabia in southern Germany, known for its historic architecture and former Jewish community.
  • A. Hainichen
    Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • E. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
NEDg Description generation batch_69cfedb37584819083038f1498b00886 completed April 3, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfee063adc8190a1f2bd447f137e56 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:06 p.m.