Triple

T14724545
Position Surface form Disambiguated ID Type / Status
Subject Peine E345903 entity
Predicate hasSubdivision P747 FINISHED
Object Schmedenstedt
Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
E1130912 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: Schmedenstedt | Statement: [Peine, hasSubdivision, Schmedenstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmedenstedt
Context triple: [Peine, hasSubdivision, Schmedenstedt]
  • A. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of 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: Schmedenstedt
Triple: [Peine, hasSubdivision, Schmedenstedt]
Generated description
Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schmedenstedt
Target entity description: Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
  • A. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9683d34c81909ff7486582766620 completed May 9, 2026, 2:05 a.m.
NEDg Description generation batch_69fe972728dc8190a9cf2a3e984b05a7 completed May 9, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69fe9790d1d081908fc94829d3104e07 completed May 9, 2026, 2:10 a.m.
Created at: April 10, 2026, 1:29 a.m.