Triple

T17252666
Position Surface form Disambiguated ID Type / Status
Subject Kuppenheim E418794 entity
Predicate hasSubdivision P747 FINISHED
Object Oberndorf
Oberndorf is a district or locality within the town of Kuppenheim in the German state of Baden-Württemberg.
 E1262881 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: Oberndorf | Statement: [Kuppenheim, hasSubdivision, Oberndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oberndorf
Context triple: [Kuppenheim, hasSubdivision, Oberndorf]
  • A. Oberndorf am Lech
    Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
  • B. Oberaudorf
    Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
  • C. Oberdorf
    Oberdorf is a Swiss municipality situated in the central alpine canton of Nidwalden.
  • D. Oberdorf
    Oberdorf is a locality within the Austrian municipality of Wolfurt in the state of Vorarlberg.
  • E. Oberdorf
    Oberdorf is a historic quarter within Zurich’s Old Town known for its narrow streets, traditional buildings, and lively mix of shops, restaurants, and cultural venues.
  • 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: Oberndorf
Triple: [Kuppenheim, hasSubdivision, Oberndorf]
Generated description
Oberndorf is a district or locality within the town of Kuppenheim in the German state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oberndorf
Target entity description: Oberndorf is a district or locality within the town of Kuppenheim in the German state of Baden-Württemberg.
  • A. Oberndorf am Lech
    Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
  • B. Oberaudorf
    Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
  • C. Oberdorf
    Oberdorf is a Swiss municipality situated in the central alpine canton of Nidwalden.
  • D. Oberdorf
    Oberdorf is a locality within the Austrian municipality of Wolfurt in the state of Vorarlberg.
  • E. Oberdorf
    Oberdorf is a historic quarter within Zurich’s Old Town known for its narrow streets, traditional buildings, and lively mix of shops, restaurants, and cultural venues.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6a1b648190a8bb2deb67bbdfdc completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3ca3f08190b7da411a5638214e completed May 11, 2026, 7:58 a.m.
NEDg Description generation batch_6a018d9651a48190b8a465741bb5b549 completed May 11, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a018eb4aed881908bf0f6837f373d04 completed May 11, 2026, 8:09 a.m.
Created at: April 10, 2026, 5:39 a.m.