Triple

T20961092
Position Surface form Disambiguated ID Type / Status
Subject Eder E516244 entity
Predicate passesNear P416 FINISHED
Object Battonnhausen
Battonnhausen is a small settlement in the German state of Hesse situated in the valley of the Eder River.
E1463688 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: Battonnhausen | Statement: [Eder, passesNear, Battonnhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battonnhausen
Context triple: [Eder, passesNear, Battonnhausen]
  • A. Bettenhausen
    Bettenhausen is a small municipality and village located in the Oberaargau region of the canton of Bern in Switzerland.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • 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. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • 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: Battonnhausen
Triple: [Eder, passesNear, Battonnhausen]
Generated description
Battonnhausen is a small settlement in the German state of Hesse situated in the valley of the Eder River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Battonnhausen
Target entity description: Battonnhausen is a small settlement in the German state of Hesse situated in the valley of the Eder River.
  • A. Bettenhausen
    Bettenhausen is a small municipality and village located in the Oberaargau region of the canton of Bern in Switzerland.
  • B. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • C. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • 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. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094734a7448190a5e89ef80b821f71 completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0948c7ba0c8190bee037a8112c33ea completed May 17, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_6a094968b54c8190bbaedc3d205f7f1e completed May 17, 2026, 4:51 a.m.
Created at: April 16, 2026, 1:31 p.m.