Triple

T19266885
Position Surface form Disambiguated ID Type / Status
Subject Geisenfeld E481806 entity
Predicate hasSubdivision P747 FINISHED
Object Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
E1370509 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: Rottenegg | Statement: [Geisenfeld, hasSubdivision, Rottenegg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rottenegg
Context triple: [Geisenfeld, hasSubdivision, Rottenegg]
  • A. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • B. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • C. Seckach
    Seckach is a river in Baden-Württemberg, Germany, known as one of the tributaries feeding into the Jagst River within the Neckar basin.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Grächen
    Grächen is a Swiss alpine village and popular family-friendly holiday resort in the canton of Valais, known for its scenic mountain setting and access to hiking and skiing.
  • 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: Rottenegg
Triple: [Geisenfeld, hasSubdivision, Rottenegg]
Generated description
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rottenegg
Target entity description: Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
  • A. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • B. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • C. Seckach
    Seckach is a river in Baden-Württemberg, Germany, known as one of the tributaries feeding into the Jagst River within the Neckar basin.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Grächen
    Grächen is a Swiss alpine village and popular family-friendly holiday resort in the canton of Valais, known for its scenic mountain setting and access to hiking and skiing.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bce5ef08190bca61ea94b5956d5 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:29 p.m.