Triple

T5252090
Position Surface form Disambiguated ID Type / Status
Subject Gunzenhausen E118611 entity
Predicate hasPart P35 FINISHED
Object district Oberwurmbach
District Oberwurmbach is a locality within the town of Gunzenhausen in the Weißenburg-Gunzenhausen district of Bavaria, Germany.
 E507218 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: district Oberwurmbach | Statement: [Gunzenhausen, hasPart, district Oberwurmbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: district Oberwurmbach
Context triple: [Gunzenhausen, hasPart, district Oberwurmbach]
  • A. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • B. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • C. Rohrbach
    Rohrbach is a smaller river or stream in Austria that serves as a tributary of the Breg River.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • 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: district Oberwurmbach
Triple: [Gunzenhausen, hasPart, district Oberwurmbach]
Generated description
District Oberwurmbach is a locality within the town of Gunzenhausen in the Weißenburg-Gunzenhausen district of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: district Oberwurmbach
Target entity description: District Oberwurmbach is a locality within the town of Gunzenhausen in the Weißenburg-Gunzenhausen district of Bavaria, Germany.
  • A. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • B. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • C. Rohrbach
    Rohrbach is a smaller river or stream in Austria that serves as a tributary of the Breg River.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7b840881908bb1ecb8a0047382 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7005308190a659efbd779c314b completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff4322308190b252820e7213f05e completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69beffe02d208190b857d6aaa4d85dae completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:50 p.m.